Valero-Carreras, Daniel; Aparicio, Juan; Guerrero, Nadia M. Multi-output support vector frontiers. (English) Zbl 07546518 Comput. Oper. Res. 143, Article ID 105765, 17 p. (2022). MSC: 90Bxx PDF BibTeX XML Cite \textit{D. Valero-Carreras} et al., Comput. Oper. Res. 143, Article ID 105765, 17 p. (2022; Zbl 07546518) Full Text: DOI OpenURL
Chandna, Akshat; Srinivasan, Sanjay Mapping natural fracture networks using geomechanical inferences from machine learning approaches. (English) Zbl 07544736 Comput. Geosci. 26, No. 3, 651-676 (2022). MSC: 86A60 86A32 86-08 68T05 74L05 PDF BibTeX XML Cite \textit{A. Chandna} and \textit{S. Srinivasan}, Comput. Geosci. 26, No. 3, 651--676 (2022; Zbl 07544736) Full Text: DOI OpenURL
Bouchnita, Anass; Nony, Patrice; Llored, Jean-Pierre; Volpert, Vitaly Combining mathematical modeling and deep learning to make rapid and explainable predictions of the patient-specific response to anticoagulant therapy under venous flow. (English) Zbl 07544501 Math. Biosci. 349, Article ID 108830, 13 p. (2022). MSC: 92C50 92C35 35Q92 PDF BibTeX XML Cite \textit{A. Bouchnita} et al., Math. Biosci. 349, Article ID 108830, 13 p. (2022; Zbl 07544501) Full Text: DOI OpenURL
Mousavi, Ahmad; Gao, Zheming; Han, Lanshan; Lim, Alvin Quadratic surface support vector machine with L1 norm regularization. (English) Zbl 07538992 J. Ind. Manag. Optim. 18, No. 3, 1835-1861 (2022). MSC: 58F15 58F17 53C35 PDF BibTeX XML Cite \textit{A. Mousavi} et al., J. Ind. Manag. Optim. 18, No. 3, 1835--1861 (2022; Zbl 07538992) Full Text: DOI OpenURL
Blanco, Victor; Japón, Alberto; Puerto, Justo Robust optimal classification trees under noisy labels. (English) Zbl 07538947 Adv. Data Anal. Classif., ADAC 16, No. 1, 155-179 (2022). MSC: 62H30 90C11 68T05 32S22 PDF BibTeX XML Cite \textit{V. Blanco} et al., Adv. Data Anal. Classif., ADAC 16, No. 1, 155--179 (2022; Zbl 07538947) Full Text: DOI OpenURL
Pircalabelu, Eugen; Artemiou, Andreas High-dimensional sufficient dimension reduction through principal projections. (English) Zbl 07524963 Electron. J. Stat. 16, No. 1, 1804-1830 (2022). MSC: 62H12 62H25 62J02 62H15 PDF BibTeX XML Cite \textit{E. Pircalabelu} and \textit{A. Artemiou}, Electron. J. Stat. 16, No. 1, 1804--1830 (2022; Zbl 07524963) Full Text: DOI Link OpenURL
Chen, Yongxin; Georgiou, Tryphon T.; Tannenbaum, Allen R. Probabilistic kernel support vector machines. (English) Zbl 1483.62102 Pure Appl. Funct. Anal. 7, No. 1, 133-143 (2022). MSC: 62H30 62G07 62G35 62R07 68T05 PDF BibTeX XML Cite \textit{Y. Chen} et al., Pure Appl. Funct. Anal. 7, No. 1, 133--143 (2022; Zbl 1483.62102) Full Text: Link OpenURL
Yazici, Ibrahim; Beyca, Omer Faruk; Gurcan, Omer Faruk; Zaim, Halil; Delen, Dursun; Zaim, Selim A comparative analysis of machine learning techniques and fuzzy analytic hierarchy process to determine the tacit knowledge criteria. (English) Zbl 07486124 Ann. Oper. Res. 308, No. 1-2, 753-776 (2022). MSC: 68Txx 03Exx 68-XX PDF BibTeX XML Cite \textit{I. Yazici} et al., Ann. Oper. Res. 308, No. 1--2, 753--776 (2022; Zbl 07486124) Full Text: DOI OpenURL
Ribeiro, Ademir A.; Sachine, Mael On the optimal separating hyperplane for arbitrary sets: a generalization of the SVM formulation and a convex hull approach. (English) Zbl 1486.90192 Optimization 71, No. 1, 213-226 (2022). MSC: 90C30 PDF BibTeX XML Cite \textit{A. A. Ribeiro} and \textit{M. Sachine}, Optimization 71, No. 1, 213--226 (2022; Zbl 1486.90192) Full Text: DOI OpenURL
Tong, Hongzhi Convergence rates of support vector machines regression for functional data. (English) Zbl 07472474 J. Complexity 69, Article ID 101604, 14 p. (2022). MSC: 68T05 62J02 PDF BibTeX XML Cite \textit{H. Tong}, J. Complexity 69, Article ID 101604, 14 p. (2022; Zbl 07472474) Full Text: DOI OpenURL
Ballı, Serkan Data analysis of Covid-19 pandemic and short-term cumulative case forecasting using machine learning time series methods. (English) Zbl 07511391 Chaos Solitons Fractals 142, Article ID 110512, 8 p. (2021). MSC: 62-XX 91-XX PDF BibTeX XML Cite \textit{S. Ballı}, Chaos Solitons Fractals 142, Article ID 110512, 8 p. (2021; Zbl 07511391) Full Text: DOI OpenURL
Başoğlu Kabran, Fatma; Ünlü, Kamil Demirberk A two-step machine learning approach to predict S&P 500 bubbles. (English) Zbl 07484682 J. Appl. Stat. 48, No. 13-15, 2776-2794 (2021). MSC: 62Pxx PDF BibTeX XML Cite \textit{F. Başoğlu Kabran} and \textit{K. D. Ünlü}, J. Appl. Stat. 48, No. 13--15, 2776--2794 (2021; Zbl 07484682) Full Text: DOI OpenURL
Hamm, Thomas; Steinwart, Ingo Adaptive learning rates for support vector machines working on data with low intrinsic dimension. (English) Zbl 1486.62107 Ann. Stat. 49, No. 6, 3153-3180 (2021). MSC: 62G08 62H30 68T05 PDF BibTeX XML Cite \textit{T. Hamm} and \textit{I. Steinwart}, Ann. Stat. 49, No. 6, 3153--3180 (2021; Zbl 1486.62107) Full Text: DOI arXiv OpenURL
Travis-Lumer, Yael; Goldberg, Yair Kernel machines for current status data. (English) Zbl 07432805 Mach. Learn. 110, No. 2, 349-391 (2021). MSC: 68T05 PDF BibTeX XML Cite \textit{Y. Travis-Lumer} and \textit{Y. Goldberg}, Mach. Learn. 110, No. 2, 349--391 (2021; Zbl 07432805) Full Text: DOI arXiv OpenURL
Maddalena, Emilio Tanowe; Scharnhorst, Paul; Jones, Colin N. Deterministic error bounds for kernel-based learning techniques under bounded noise. (English) Zbl 1478.93123 Automatica 134, Article ID 109896, 9 p. (2021). MSC: 93B30 62J07 PDF BibTeX XML Cite \textit{E. T. Maddalena} et al., Automatica 134, Article ID 109896, 9 p. (2021; Zbl 1478.93123) Full Text: DOI arXiv OpenURL
Deval, Gaurav; Hamid, Faiz; Goel, Mayank When to declare the third innings of a test cricket match? (English) Zbl 07422004 Ann. Oper. Res. 303, No. 1-2, 81-99 (2021). MSC: 68Txx 62Pxx 62Jxx PDF BibTeX XML Cite \textit{G. Deval} et al., Ann. Oper. Res. 303, No. 1--2, 81--99 (2021; Zbl 07422004) Full Text: DOI OpenURL
Tukan, Murad; Baykal, Cenk; Feldman, Dan; Rus, Daniela On coresets for support vector machines. (English) Zbl 07412732 Theor. Comput. Sci. 890, 171-191 (2021). MSC: 68Qxx PDF BibTeX XML Cite \textit{M. Tukan} et al., Theor. Comput. Sci. 890, 171--191 (2021; Zbl 07412732) Full Text: DOI arXiv OpenURL
Schuld, Maria; Petruccione, Francesco Machine learning with quantum computers. 2nd edition of the book originally published with the title Supervised learning with quantum computers. (English) Zbl 1473.81010 Quantum Science and Technology. Cham: Springer (ISBN 978-3-030-83097-7/hbk; 978-3-030-83100-4/pbk; 978-3-030-83098-4/ebook). xiv, 312 p. (2021). MSC: 81-02 81P68 68Q12 68T05 82C32 PDF BibTeX XML Cite \textit{M. Schuld} and \textit{F. Petruccione}, Machine learning with quantum computers. 2nd edition of the book originally published with the title Supervised learning with quantum computers. Cham: Springer (2021; Zbl 1473.81010) Full Text: DOI OpenURL
Hang, Hanyuan; Steinwart, Ingo Optimal learning with anisotropic Gaussian SVMs. (English) Zbl 07390687 Appl. Comput. Harmon. Anal. 55, 337-367 (2021). MSC: 68-XX 91-XX PDF BibTeX XML Cite \textit{H. Hang} and \textit{I. Steinwart}, Appl. Comput. Harmon. Anal. 55, 337--367 (2021; Zbl 07390687) Full Text: DOI arXiv OpenURL
Molitor, Denali; Needell, Deanna; Ward, Rachel Bias of homotopic gradient descent for the hinge loss. (English) Zbl 1473.90119 Appl. Math. Optim. 84, No. 1, 621-647 (2021). MSC: 90C25 PDF BibTeX XML Cite \textit{D. Molitor} et al., Appl. Math. Optim. 84, No. 1, 621--647 (2021; Zbl 1473.90119) Full Text: DOI arXiv OpenURL
Li, Zhu; Ton, Jean-Francois; Oglic, Dino; Sejdinovic, Dino Towards a unified analysis of random Fourier features. (English) Zbl 07370625 J. Mach. Learn. Res. 22, Paper No. 108, 51 p. (2021). MSC: 68T05 PDF BibTeX XML Cite \textit{Z. Li} et al., J. Mach. Learn. Res. 22, Paper No. 108, 51 p. (2021; Zbl 07370625) Full Text: arXiv Link OpenURL
Hang, Hanyuan; Lin, Zhouchen; Liu, Xiaoyu; Wen, Hongwei Histogram transform ensembles for large-scale regression. (English) Zbl 07370612 J. Mach. Learn. Res. 22, Paper No. 95, 87 p. (2021). MSC: 68T05 PDF BibTeX XML Cite \textit{H. Hang} et al., J. Mach. Learn. Res. 22, Paper No. 95, 87 p. (2021; Zbl 07370612) Full Text: arXiv Link OpenURL
Galvan, Giulio; Lapucci, Matteo; Lin, Chih-Jen; Sciandrone, Marco A two-level decomposition framework exploiting first and second order information for SVM training problems. (English) Zbl 07370540 J. Mach. Learn. Res. 22, Paper No. 23, 38 p. (2021). MSC: 68T05 PDF BibTeX XML Cite \textit{G. Galvan} et al., J. Mach. Learn. Res. 22, Paper No. 23, 38 p. (2021; Zbl 07370540) Full Text: Link OpenURL
Wei, Xiuxi; Huang, Huajuan A polynomial smooth twin support vector machines based on Newton-Armijo optimization. (Chinese. English summary) Zbl 1474.68280 J. Shaanxi Norm. Univ., Nat. Sci. Ed. 49, No. 1, 44-51 (2021). MSC: 68T05 90C90 PDF BibTeX XML Cite \textit{X. Wei} and \textit{H. Huang}, J. Shaanxi Norm. Univ., Nat. Sci. Ed. 49, No. 1, 44--51 (2021; Zbl 1474.68280) Full Text: DOI OpenURL
Zeng, JingJing; Duan, Yuze; Wang, Desheng; Zou, Bin; Yin, Yue; Xu, Jie Generalization performance of Lagrangian support vector machine based on Markov sampling. (English) Zbl 1465.62144 J. Stat. Plann. Inference 214, 89-104 (2021). MSC: 62M05 62D05 PDF BibTeX XML Cite \textit{J. Zeng} et al., J. Stat. Plann. Inference 214, 89--104 (2021; Zbl 1465.62144) Full Text: DOI OpenURL
Montañés, Diana C.; Quiroz, Adolfo J.; Dulce Rubio, Mateo; Riascos Villegas, Alvaro J. Efficient nearest neighbors methods for support vector machines in high dimensional feature spaces. (English) Zbl 1466.90100 Optim. Lett. 15, No. 2, 391-404 (2021). MSC: 90C30 90C90 PDF BibTeX XML Cite \textit{D. C. Montañés} et al., Optim. Lett. 15, No. 2, 391--404 (2021; Zbl 1466.90100) Full Text: DOI OpenURL
Aslan, B. C. Application of support vector machines to diagnosis of late-onset glutaric acidemia type 2. (English) Zbl 1474.92038 Electron. J. Math. Anal. Appl. 9, No. 2, 265-272 (2021). MSC: 92C50 92-10 PDF BibTeX XML Cite \textit{B. C. Aslan}, Electron. J. Math. Anal. Appl. 9, No. 2, 265--272 (2021; Zbl 1474.92038) Full Text: Link OpenURL
James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert An introduction to statistical learning. With applications in R. 2nd edition. (English) Zbl 1469.62002 Springer Texts in Statistics. New York, NY: Springer (ISBN 978-1-0716-1417-4/hbk; 978-1-0716-1420-4/pbk; 978-1-0716-1418-1/ebook). xv, 607 p. (2021). MSC: 62-01 62C99 68T05 PDF BibTeX XML Cite \textit{G. James} et al., An introduction to statistical learning. With applications in R. 2nd edition. New York, NY: Springer (2021; Zbl 1469.62002) Full Text: DOI OpenURL
Parand, K.; Aghaei, A. A.; Jani, M.; Ghodsi, A. A new approach to the numerical solution of Fredholm integral equations using least squares-support vector regression. (English) Zbl 07318188 Math. Comput. Simul. 180, 114-128 (2021). MSC: 45Bxx 65Rxx PDF BibTeX XML Cite \textit{K. Parand} et al., Math. Comput. Simul. 180, 114--128 (2021; Zbl 07318188) Full Text: DOI OpenURL
Kwak, Wikil; Shi, Yong; Lee, Cheng Few Data mining applications in accounting and finance context. (English) Zbl 1452.91322 Lee, Cheng Few (ed.) et al., Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 1. Hackensack, NJ: World Scientific. 823-857 (2021). MSC: 91G45 62P05 62R07 PDF BibTeX XML Cite \textit{W. Kwak} et al., in: Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 1. Hackensack, NJ: World Scientific. 823--857 (2021; Zbl 1452.91322) Full Text: DOI OpenURL
Li, Jianping; Liu, Mingxi; Lee, Cheng Few; Wu, Dengsheng Support vector machines based methodology for credit risk analysis. (English) Zbl 1454.91330 Lee, Cheng Few (ed.) et al., Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 1. Hackensack, NJ: World Scientific. 791-822 (2021). MSC: 91G40 62P05 68T05 PDF BibTeX XML Cite \textit{J. Li} et al., in: Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 1. Hackensack, NJ: World Scientific. 791--822 (2021; Zbl 1454.91330) Full Text: DOI OpenURL
De Leone, Renato; Egidi, Nadaniela; Fatone, Lorella The use of grossone in elastic net regularization and sparse support vector machines. (English) Zbl 07560757 Soft Comput. 24, No. 23, 17669-17677 (2020). MSC: 65K10 68T05 PDF BibTeX XML Cite \textit{R. De Leone} et al., Soft Comput. 24, No. 23, 17669--17677 (2020; Zbl 07560757) Full Text: DOI OpenURL
Ni, Tie Non-interior-point smoothing Newton method for CP revisited and its application to support vector machines. (English) Zbl 1475.90114 J. Appl. Math. Comput. 62, No. 1-2, 725-752 (2020). MSC: 90C33 65K10 PDF BibTeX XML Cite \textit{T. Ni}, J. Appl. Math. Comput. 62, No. 1--2, 725--752 (2020; Zbl 1475.90114) Full Text: DOI OpenURL
Liu, Fanghui; Huang, Xiaolin; Gong, Chen; Yang, Jie; Li, Li Learning data-adaptive non-parametric kernels. (English) Zbl 07306897 J. Mach. Learn. Res. 21, Paper No. 208, 39 p. (2020). MSC: 68T05 PDF BibTeX XML Cite \textit{F. Liu} et al., J. Mach. Learn. Res. 21, Paper No. 208, 39 p. (2020; Zbl 07306897) Full Text: arXiv Link OpenURL
Hao, Pei-Yi Dual possibilistic regression analysis using support vector networks. (English) Zbl 1452.62568 Fuzzy Sets Syst. 387, 1-34 (2020). MSC: 62J86 68T05 PDF BibTeX XML Cite \textit{P.-Y. Hao}, Fuzzy Sets Syst. 387, 1--34 (2020; Zbl 1452.62568) Full Text: DOI OpenURL
Zenkov, V. V. Applying an approximation of the Anderson discriminant function and support vector machines for solving some classification tasks. (English. Russian original) Zbl 1457.62205 Autom. Remote Control 81, No. 1, 118-129 (2020); translation from Avtom. Telemekh. 2020, No. 1, 159-172 (2020). MSC: 62H30 68T05 PDF BibTeX XML Cite \textit{V. V. Zenkov}, Autom. Remote Control 81, No. 1, 118--129 (2020; Zbl 1457.62205); translation from Avtom. Telemekh. 2020, No. 1, 159--172 (2020) Full Text: DOI OpenURL
Nychka, Douglas; Ma, Ping; Bates, Douglas A conversation with Grace Wahba. (English) Zbl 07292515 Stat. Sci. 35, No. 2, 308-320 (2020). MSC: 62-XX PDF BibTeX XML Cite \textit{D. Nychka} et al., Stat. Sci. 35, No. 2, 308--320 (2020; Zbl 07292515) Full Text: DOI Euclid OpenURL
Won, Daehan; Manzour, Hasan; Chaovalitwongse, Wanpracha Convex optimization for group feature selection in networked data. (English) Zbl 1451.90034 INFORMS J. Comput. 32, No. 1, 182-198 (2020). MSC: 90B10 90C34 90C25 68T05 PDF BibTeX XML Cite \textit{D. Won} et al., INFORMS J. Comput. 32, No. 1, 182--198 (2020; Zbl 1451.90034) Full Text: DOI OpenURL
van Messem, Arnout Support vector machines: a robust prediction method with applications in bioinformatics. (English) Zbl 1444.62137 Rao, Arni Srinivasa (ed.) et al., Principles and methods for data science. Amsterdam: Elsevier/North Holland. Handb. Stat. 43, 391-466 (2020). MSC: 62R07 62H30 62P10 PDF BibTeX XML Cite \textit{A. van Messem}, Handb. Stat. 43, 391--466 (2020; Zbl 1444.62137) Full Text: DOI OpenURL
Blanco, Victor; Puerto, Justo; Rodriguez-Chia, Antonio M. On \(\ell_p\)-support vector machines and multidimensional kernels. (English) Zbl 07255045 J. Mach. Learn. Res. 21, Paper No. 14, 29 p. (2020). MSC: 68T05 PDF BibTeX XML Cite \textit{V. Blanco} et al., J. Mach. Learn. Res. 21, Paper No. 14, 29 p. (2020; Zbl 07255045) Full Text: arXiv Link OpenURL
Hung, Ying-Chao; Michailidis, George; PakHai Lok, Horace Locating infinite discontinuities in computer experiments. (English) Zbl 07216999 SIAM/ASA J. Uncertain. Quantif. 8, 717-747 (2020). MSC: 68T05 62K05 90B22 62K99 62P99 65C60 PDF BibTeX XML Cite \textit{Y.-C. Hung} et al., SIAM/ASA J. Uncertain. Quantif. 8, 717--747 (2020; Zbl 07216999) Full Text: DOI OpenURL
Dumpert, Florian Quantitative robustness of localized support vector machines. (English) Zbl 1442.62767 Commun. Pure Appl. Anal. 19, No. 8, 3947-3956 (2020). MSC: 62R07 62G35 68Q32 68T05 PDF BibTeX XML Cite \textit{F. Dumpert}, Commun. Pure Appl. Anal. 19, No. 8, 3947--3956 (2020; Zbl 1442.62767) Full Text: DOI arXiv OpenURL
Lu, Yanfei; Yin, Qingfei; Li, Hongyi; Sun, Hongli; Yang, Yunlei; Hou, Muzhou Solving higher order nonlinear ordinary differential equations with least squares support vector machines. (English) Zbl 1463.65211 J. Ind. Manag. Optim. 16, No. 3, 1481-1502 (2020). MSC: 65L99 68T05 34A12 34B15 PDF BibTeX XML Cite \textit{Y. Lu} et al., J. Ind. Manag. Optim. 16, No. 3, 1481--1502 (2020; Zbl 1463.65211) Full Text: DOI OpenURL
Bhosekar, Atharv; Ierapetritou, Marianthi A discontinuous derivative-free optimization framework for multi-enterprise supply chain. (English) Zbl 1444.90118 Optim. Lett. 14, No. 4, 959-988 (2020). MSC: 90C56 90C90 PDF BibTeX XML Cite \textit{A. Bhosekar} and \textit{M. Ierapetritou}, Optim. Lett. 14, No. 4, 959--988 (2020; Zbl 1444.90118) Full Text: DOI OpenURL
Zamzami, Nuha; Bouguila, Nizar Deriving probabilistic SVM kernels from exponential family approximations to multivariate distributions for count data. (English) Zbl 1434.62091 Bouguila, Nizar (ed.) et al., Mixture models and applications. Cham: Springer. Unsuperv. Semi-Superv. Learn., 125-153 (2020). MSC: 62H10 62H30 68T05 62B10 62P30 PDF BibTeX XML Cite \textit{N. Zamzami} and \textit{N. Bouguila}, in: Mixture models and applications. Cham: Springer. 125--153 (2020; Zbl 1434.62091) Full Text: DOI OpenURL
Uy, Wayne Isaac T.; Grigoriu, Mircea D. Identification of input random field samples causing extreme responses. (English) Zbl 1481.62071 Appl. Math. Modelling 82, 916-937 (2020). MSC: 62M40 62G32 62H30 62N05 PDF BibTeX XML Cite \textit{W. I. T. Uy} and \textit{M. D. Grigoriu}, Appl. Math. Modelling 82, 916--937 (2020; Zbl 1481.62071) Full Text: DOI OpenURL
Berk, Richard A. Statistical learning from a regression perspective. 3rd revised and updated edition. (English) Zbl 1435.62001 Springer Texts in Statistics. Cham: Springer (ISBN 978-3-030-40188-7/hbk; 978-3-030-40189-4/ebook). xxvii, 433 p. (2020). MSC: 62-01 62G08 62P25 68T05 62-04 62P10 PDF BibTeX XML Cite \textit{R. A. Berk}, Statistical learning from a regression perspective. 3rd revised and updated edition. Cham: Springer (2020; Zbl 1435.62001) Full Text: DOI Link OpenURL
Jiang, Wei; Siddiqui, Sauleh Hyper-parameter optimization for support vector machines using stochastic gradient descent and dual coordinate descent. (English) Zbl 1432.68387 EURO J. Comput. Optim. 8, No. 1, 85-101 (2020). MSC: 68T05 PDF BibTeX XML Cite \textit{W. Jiang} and \textit{S. Siddiqui}, EURO J. Comput. Optim. 8, No. 1, 85--101 (2020; Zbl 1432.68387) Full Text: DOI OpenURL
Laurain, Vincent; Tóth, Roland; Piga, Dario; Darwish, Mohamed Abdelmonim Hassan Sparse RKHS estimation via globally convex optimization and its application in LPV-IO identification. (English) Zbl 1436.93033 Automatica 115, Article ID 108914, 10 p. (2020). MSC: 93B30 93C05 90C25 PDF BibTeX XML Cite \textit{V. Laurain} et al., Automatica 115, Article ID 108914, 10 p. (2020; Zbl 1436.93033) Full Text: DOI Link OpenURL
Maldonado, Sebastián; López, Julio; Vairetti, Carla Profit-based churn prediction based on minimax probability machines. (English) Zbl 1441.62806 Eur. J. Oper. Res. 284, No. 1, 273-284 (2020). MSC: 62P20 62H30 68T05 90C30 PDF BibTeX XML Cite \textit{S. Maldonado} et al., Eur. J. Oper. Res. 284, No. 1, 273--284 (2020; Zbl 1441.62806) Full Text: DOI OpenURL
Couellan, Nicolas; Jan, Sophie Feature uncertainty bounds for explicit feature maps and large robust nonlinear SVM classifiers. (English) Zbl 1436.62246 Ann. Math. Artif. Intell. 88, No. 1-3, 269-289 (2020). MSC: 62H30 62G35 68T05 62R07 PDF BibTeX XML Cite \textit{N. Couellan} and \textit{S. Jan}, Ann. Math. Artif. Intell. 88, No. 1--3, 269--289 (2020; Zbl 1436.62246) Full Text: DOI HAL OpenURL
Wang, Xin; Zhang, Hao Helen; Wu, Yichao Multiclass probability estimation with support vector machines. (English) Zbl 07499078 J. Comput. Graph. Stat. 28, No. 3, 586-595 (2019). MSC: 62-XX PDF BibTeX XML Cite \textit{X. Wang} et al., J. Comput. Graph. Stat. 28, No. 3, 586--595 (2019; Zbl 07499078) Full Text: DOI OpenURL
Reynolds, Evan; Callaghan, Brian; Banerjee, Mousumi SVM-CART for disease classification. (English) Zbl 07481396 J. Appl. Stat. 46, No. 16, 2987-3007 (2019). MSC: 62Pxx PDF BibTeX XML Cite \textit{E. Reynolds} et al., J. Appl. Stat. 46, No. 16, 2987--3007 (2019; Zbl 07481396) Full Text: DOI OpenURL
Jain, Vanita; Lamba, Puneet Singh; Singh, Bhanu; Namboothiri, Narayanan; Dhall, Shafali Facial expression recognition using feature level fusion. (English) Zbl 07475897 J. Discrete Math. Sci. Cryptography 22, No. 2, 337-350 (2019). MSC: 05-XX 94-XX PDF BibTeX XML Cite \textit{V. Jain} et al., J. Discrete Math. Sci. Cryptography 22, No. 2, 337--350 (2019; Zbl 07475897) Full Text: DOI OpenURL
García-Nieto, P. J.; García-Gonzalo, E.; Fernández, J. R. Alonso; Muñiz, C. Díaz Modeling of the algal atypical increase in La Barca reservoir using the DE optimized least square support vector machine approach with feature selection. (English) Zbl 07316783 Math. Comput. Simul. 166, 461-480 (2019). MSC: 90Cxx 90-XX PDF BibTeX XML Cite \textit{P. J. García-Nieto} et al., Math. Comput. Simul. 166, 461--480 (2019; Zbl 07316783) Full Text: DOI OpenURL
Ghosh, Debdas; Singh, Abhishek; Shukla, K. K.; Manchanda, Kartik Extended Karush-Kuhn-Tucker condition for constrained interval optimization problems and its application in support vector machines. (English) Zbl 1453.90163 Inf. Sci. 504, 276-292 (2019); erratum ibid. 559, 309-313 (2021). MSC: 90C30 62H30 90C46 90C70 PDF BibTeX XML Cite \textit{D. Ghosh} et al., Inf. Sci. 504, 276--292 (2019; Zbl 1453.90163) Full Text: DOI OpenURL
Blanquero, Rafael; Carrizosa, Emilio; Jiménez-Cordero, Asunción; Martín-Barragán, Belén Variable selection in classification for multivariate functional data. (English) Zbl 1443.62179 Inf. Sci. 481, 445-462 (2019). MSC: 62H30 90C26 PDF BibTeX XML Cite \textit{R. Blanquero} et al., Inf. Sci. 481, 445--462 (2019; Zbl 1443.62179) Full Text: DOI Link OpenURL
Rungruang, Chongkolnee; Srichaikul, Wilawan; Chanaim, Somsak; Sriboonchitta, Songsak Prediction the direction of SET50 index using support vector machines. (English) Zbl 1463.35287 Thai J. Math., Spec. Iss.: Structural change modeling and optimization in econometrics 2018, 153-165 (2019). MSC: 35K05 91G20 PDF BibTeX XML Cite \textit{C. Rungruang} et al., Thai J. Math., 153--165 (2019; Zbl 1463.35287) Full Text: Link OpenURL
Gerhart, Christoph; Lütkebohmert, Eva; Weber, Marc Robust forecasting of multiple yield curves. (English) Zbl 1434.62203 Valenzuela, Olga (ed.) et al., Theory and applications of time series analysis. Selected contributions from the international conference on time series and forecasting, ITISE 2018, Granada, Spain, September 19–21, 2018. Cham: Springer. Contrib. Stat., 187-202 (2019). MSC: 62M20 62G35 62P05 62M45 68T05 91B84 PDF BibTeX XML Cite \textit{C. Gerhart} et al., in: Theory and applications of time series analysis. Selected contributions from the international conference on time series and forecasting, ITISE 2018, Granada, Spain, September 19--21, 2018. Cham: Springer. 187--202 (2019; Zbl 1434.62203) Full Text: DOI OpenURL
Chen, Mingshuai; Wang, Jian; An, Jie; Zhan, Bohua; Kapur, Deepak; Zhan, Naijun NIL: learning nonlinear interpolants. (English) Zbl 07178976 Fontaine, Pascal (ed.), Automated deduction – CADE 27. 27th international conference on automated deduction, Natal, Brazil, August 27–30, 2019. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 11716, 178-196 (2019). MSC: 03B35 68V15 PDF BibTeX XML Cite \textit{M. Chen} et al., Lect. Notes Comput. Sci. 11716, 178--196 (2019; Zbl 07178976) Full Text: DOI arXiv OpenURL
Wu, Ziku; Ding, Chang; Li, Guofeng; Han, Xiaoming; Li, Juan Learning solutions to the source inverse problem of wave equations using LS-SVM. (English) Zbl 1427.35367 J. Inverse Ill-Posed Probl. 27, No. 5, 657-669 (2019). MSC: 35R30 65M32 68T05 35L20 PDF BibTeX XML Cite \textit{Z. Wu} et al., J. Inverse Ill-Posed Probl. 27, No. 5, 657--669 (2019; Zbl 1427.35367) Full Text: DOI OpenURL
Umbreen, Fariha; Ahmed, Faizan; Iqbal, Muhammad Faisal On convergence rate of a convex relaxation of semisupervised support vector machines. (English) Zbl 1435.68283 C. R. Acad. Bulg. Sci. 72, No. 5, 573-583 (2019). Reviewer: Angela Slavova (Sofia) MSC: 68T05 PDF BibTeX XML Cite \textit{F. Umbreen} et al., C. R. Acad. Bulg. Sci. 72, No. 5, 573--583 (2019; Zbl 1435.68283) Full Text: DOI OpenURL
Halder, Yous V.; Sanderse, Benjamin; Koren, Barry An adaptive minimum spanning tree multielement method for uncertainty quantification of smooth and discontinuous responses. (English) Zbl 1447.65100 SIAM J. Sci. Comput. 41, No. 6, A3624-A3648 (2019). Reviewer: Temur A. Jangveladze (Tbilisi) MSC: 65M70 68Q32 65M55 65D05 65N25 05C05 PDF BibTeX XML Cite \textit{Y. V. Halder} et al., SIAM J. Sci. Comput. 41, No. 6, A3624--A3648 (2019; Zbl 1447.65100) Full Text: DOI arXiv OpenURL
Mello-Román, Jorge D.; Mello-Román, Julio C.; Gómez-Guerrero, Santiago; García-Torres, Miguel Predictive models for the medical diagnosis of dengue: a case study in Paraguay. (English) Zbl 1423.92106 Comput. Math. Methods Med. 2019, Article ID 7307803, 7 p. (2019). MSC: 92C50 92-08 PDF BibTeX XML Cite \textit{J. D. Mello-Román} et al., Comput. Math. Methods Med. 2019, Article ID 7307803, 7 p. (2019; Zbl 1423.92106) Full Text: DOI OpenURL
Li, Xue; Yang, Lifeng; Zhang, Xiaopan; Jiao, Xiong Prediction of protein-protein interactions based on domain. (English) Zbl 1423.92057 Comput. Math. Methods Med. 2019, Article ID 5238406, 7 p. (2019). MSC: 92C40 92D20 92-08 PDF BibTeX XML Cite \textit{X. Li} et al., Comput. Math. Methods Med. 2019, Article ID 5238406, 7 p. (2019; Zbl 1423.92057) Full Text: DOI OpenURL
Aravindh, A.; Shiju, S. S.; Sumitra, S. Kernel collaborative online algorithms for multi-task learning. (English) Zbl 07121050 Ann. Math. Artif. Intell. 86, No. 4, 269-286 (2019). MSC: 68Txx PDF BibTeX XML Cite \textit{A. Aravindh} et al., Ann. Math. Artif. Intell. 86, No. 4, 269--286 (2019; Zbl 07121050) Full Text: DOI OpenURL
Panagopoulos, Orestis P.; Xanthopoulos, Petros; Razzaghi, Talayeh; Şeref, Onur Relaxed support vector regression. (English) Zbl 07119448 Ann. Oper. Res. 276, No. 1-2, 191-210 (2019). MSC: 68Txx PDF BibTeX XML Cite \textit{O. P. Panagopoulos} et al., Ann. Oper. Res. 276, No. 1--2, 191--210 (2019; Zbl 07119448) Full Text: DOI OpenURL
Ketabchi, Saeed; Moosaei, Hossein; Razzaghi, Mohamad; Pardalos, Panos M. An improvement on parametric \(\nu\)-support vector algorithm for classification. (English) Zbl 07119446 Ann. Oper. Res. 276, No. 1-2, 155-168 (2019). MSC: 68Txx 68-XX 62Cxx 62-XX PDF BibTeX XML Cite \textit{S. Ketabchi} et al., Ann. Oper. Res. 276, No. 1--2, 155--168 (2019; Zbl 07119446) Full Text: DOI OpenURL
Wang, Hongyuan; Geng, Lei; Ni, Tongguang; Wang, Chong Knowledge embedded transfer twin support vector machine. (Chinese. English summary) Zbl 1438.68125 Control Decis. 34, No. 3, 519-526 (2019). MSC: 68T05 PDF BibTeX XML Cite \textit{H. Wang} et al., Control Decis. 34, No. 3, 519--526 (2019; Zbl 1438.68125) Full Text: DOI OpenURL
Benítez-Peña, Sandra; Blanquero, Rafael; Carrizosa, Emilio; Ramírez-Cobo, Pepa On support vector machines under a multiple-cost scenario. (English) Zbl 1474.62211 Adv. Data Anal. Classif., ADAC 13, No. 3, 663-682 (2019). MSC: 62H30 62P20 90C11 90C30 PDF BibTeX XML Cite \textit{S. Benítez-Peña} et al., Adv. Data Anal. Classif., ADAC 13, No. 3, 663--682 (2019; Zbl 1474.62211) Full Text: DOI OpenURL
Ramasubramanian, Karthik; Singh, Abhishek Machine learning using R. With time series and industry-based use cases in R. 2nd edition. (English) Zbl 1423.68007 New York, NY: Apress (ISBN 978-1-4842-4214-8/pbk; 978-1-4842-4215-5/ebook). xxiv, 700 p. (2019). Reviewer: Irina Ioana Mohorianu (Oxford) MSC: 68-01 68-02 68T05 PDF BibTeX XML Cite \textit{K. Ramasubramanian} and \textit{A. Singh}, Machine learning using R. With time series and industry-based use cases in R. 2nd edition. New York, NY: Apress (2019; Zbl 1423.68007) Full Text: DOI OpenURL
Csáji, Balázs Cs.; Kis, Krisztián B. Distribution-free uncertainty quantification for kernel methods by gradient perturbations. (English) Zbl 07097486 Mach. Learn. 108, No. 8-9, 1677-1699 (2019). MSC: 68T05 PDF BibTeX XML Cite \textit{B. Cs. Csáji} and \textit{K. B. Kis}, Mach. Learn. 108, No. 8--9, 1677--1699 (2019; Zbl 07097486) Full Text: DOI arXiv OpenURL
Artemiou, Andreas Using adaptively weighted large margin classifiers for robust sufficient dimension reduction. (English) Zbl 1429.62233 Statistics 53, No. 5, 1037-1051 (2019). Reviewer: Denis Sidorov (Irkutsk) MSC: 62H30 62G35 62G32 PDF BibTeX XML Cite \textit{A. Artemiou}, Statistics 53, No. 5, 1037--1051 (2019; Zbl 1429.62233) Full Text: DOI Link OpenURL
García Nieto, P. J.; García-Gonzalo, E.; Sánchez Lasheras, F.; Paredes-Sánchez, J. P.; Riesgo Fernández, P. Forecast of the higher heating value in biomass torrefaction by means of machine learning techniques. (English) Zbl 1419.62528 J. Comput. Appl. Math. 357, 284-301 (2019). MSC: 62P30 68T05 80A32 90C59 PDF BibTeX XML Cite \textit{P. J. García Nieto} et al., J. Comput. Appl. Math. 357, 284--301 (2019; Zbl 1419.62528) Full Text: DOI OpenURL
Xu, Yuesheng; Ye, Qi Generalized Mercer kernels and reproducing kernel Banach spaces. (English) Zbl 1455.68009 Memoirs of the American Mathematical Society 1243. Providence, RI: American Mathematical Society (AMS) (ISBN 978-1-4704-3550-9/pbk; 978-1-4704-5077-9/ebook). vi, 122 p. (2019). Reviewer: Martin D. Buhmann (Gießen) MSC: 68-02 46-02 65-02 46E22 65Dxx 68T05 PDF BibTeX XML Cite \textit{Y. Xu} and \textit{Q. Ye}, Generalized Mercer kernels and reproducing kernel Banach spaces. Providence, RI: American Mathematical Society (AMS) (2019; Zbl 1455.68009) Full Text: DOI arXiv OpenURL
Tong, Hongzhi; Chen, Di-Rong; Yang, Fenghong Support vector machines regression with unbounded sampling. (English) Zbl 07065448 Appl. Anal. 98, No. 9, 1626-1635 (2019). MSC: 68T05 62J02 PDF BibTeX XML Cite \textit{H. Tong} et al., Appl. Anal. 98, No. 9, 1626--1635 (2019; Zbl 07065448) Full Text: DOI OpenURL
Benítez-Peña, S.; Blanquero, R.; Carrizosa, E.; Ramírez-Cobo, P. Cost-sensitive feature selection for support vector machines. (English) Zbl 1458.68158 Comput. Oper. Res. 106, 169-178 (2019). MSC: 68T05 62H30 90C90 PDF BibTeX XML Cite \textit{S. Benítez-Peña} et al., Comput. Oper. Res. 106, 169--178 (2019; Zbl 1458.68158) Full Text: DOI OpenURL
Farooq, Muhammad; Steinwart, Ingo Learning rates for kernel-based expectile regression. (English) Zbl 1480.62067 Mach. Learn. 108, No. 2, 203-227 (2019). MSC: 62G08 60B12 68T05 62P20 PDF BibTeX XML Cite \textit{M. Farooq} and \textit{I. Steinwart}, Mach. Learn. 108, No. 2, 203--227 (2019; Zbl 1480.62067) Full Text: DOI arXiv OpenURL
Dasgupta, Sayan; Goldberg, Yair; Kosorok, Michael R. Feature elimination in kernel machines in moderately high dimensions. (English) Zbl 1420.68167 Ann. Stat. 47, No. 1, 497-526 (2019). MSC: 68T05 62H30 PDF BibTeX XML Cite \textit{S. Dasgupta} et al., Ann. Stat. 47, No. 1, 497--526 (2019; Zbl 1420.68167) Full Text: DOI arXiv Euclid OpenURL
Kalantari, Bahman An algorithmic separating hyperplane theorem and its applications. (English) Zbl 1436.90138 Discrete Appl. Math. 256, 59-82 (2019). Reviewer: Nada Djuranović-Miličić (Belgrade) MSC: 90C30 PDF BibTeX XML Cite \textit{B. Kalantari}, Discrete Appl. Math. 256, 59--82 (2019; Zbl 1436.90138) Full Text: DOI arXiv OpenURL
Ordóñez, Celestino; Sánchez Lasheras, Fernando; Roca-Pardiñas, Javier; de Cos Juez, Francisco Javier A hybrid ARIMA-SVM model for the study of the remaining useful life of aircraft engines. (English) Zbl 1405.62247 J. Comput. Appl. Math. 346, 184-191 (2019). MSC: 62P30 62N05 62M10 PDF BibTeX XML Cite \textit{C. Ordóñez} et al., J. Comput. Appl. Math. 346, 184--191 (2019; Zbl 1405.62247) Full Text: DOI OpenURL
Zullo, Anthony; Fauvel, Mathieu; Ferraty, Frédéric Experimental comparison of functional and multivariate spectral-based supervised classification methods in hyperspectral image. (English) Zbl 07479856 J. Appl. Stat. 45, No. 12, 2219-2237 (2018). MSC: 62-07 62H30 62H35 62P30 62Pxx PDF BibTeX XML Cite \textit{A. Zullo} et al., J. Appl. Stat. 45, No. 12, 2219--2237 (2018; Zbl 07479856) Full Text: DOI OpenURL
Thenozhi, Suresh; Tang, Yu Learning-based frequency response function estimation for nonlinear systems. (English) Zbl 1482.93416 Int. J. Syst. Sci., Princ. Appl. Syst. Integr. 49, No. 11, 2287-2297 (2018). MSC: 93C80 93C10 PDF BibTeX XML Cite \textit{S. Thenozhi} and \textit{Y. Tang}, Int. J. Syst. Sci., Princ. Appl. Syst. Integr. 49, No. 11, 2287--2297 (2018; Zbl 1482.93416) Full Text: DOI OpenURL
Griva, Igor Convergence analysis of augmented Lagrangian-fast projected gradient method for convex quadratic problems. (English) Zbl 1474.90315 Pure Appl. Funct. Anal. 3, No. 3, 417-428 (2018). MSC: 90C20 90C30 90C25 PDF BibTeX XML Cite \textit{I. Griva}, Pure Appl. Funct. Anal. 3, No. 3, 417--428 (2018; Zbl 1474.90315) Full Text: Link OpenURL
Thang, Pham Quoc; Thuy, Nguyen Thanh; Lam, Hoang Thi A modification of solution optimization in support vector machine simplification for classification. (English) Zbl 1455.68188 Bhateja, Vikrant (ed.) et al., Information systems design and intelligent applications. Proceedings of fourth international conference INDIA 2017, Da Nang, Vietnam, June 15–17, 2017. Singapore: Springer. Adv. Intell. Syst. Comput. 627, 149-158 (2018). MSC: 68T05 62H30 90C90 PDF BibTeX XML Cite \textit{P. Q. Thang} et al., Adv. Intell. Syst. Comput. 627, 149--158 (2018; Zbl 1455.68188) Full Text: DOI OpenURL
López, Julio; Maldonado, Sebastián; Carrasco, Miguel Double regularization methods for robust feature selection and SVM classification via DC programming. (English) Zbl 1436.68310 Inf. Sci. 429, 377-389 (2018). MSC: 68T05 90C22 PDF BibTeX XML Cite \textit{J. López} et al., Inf. Sci. 429, 377--389 (2018; Zbl 1436.68310) Full Text: DOI OpenURL
Xia, Xiao-Lei Training sparse least squares support vector machines by the QR decomposition. (English) Zbl 1434.68475 Neural Netw. 106, 175-184 (2018). MSC: 68T05 PDF BibTeX XML Cite \textit{X.-L. Xia}, Neural Netw. 106, 175--184 (2018; Zbl 1434.68475) Full Text: DOI Link OpenURL
Boruz, Dumitru Bogdan Mateis; Stoean, Catalin On supporting cancer grading based on histological slides using a limited number of features. (English) Zbl 1438.92039 An. Univ. Craiova, Ser. Mat. Inf. 45, No. 1, 156-166 (2018). MSC: 92C55 92C50 68T05 PDF BibTeX XML Cite \textit{D. B. M. Boruz} and \textit{C. Stoean}, An. Univ. Craiova, Ser. Mat. Inf. 45, No. 1, 156--166 (2018; Zbl 1438.92039) OpenURL
Nguyen, Hien D.; Jones, Andrew T.; McLachlan, Geoffrey J. Stream-suitable optimization algorithms for some soft-margin support vector machine variants. (English) Zbl 1430.62272 Jpn. J. Stat. Data Sci. 1, No. 1, 81-108 (2018). MSC: 62R07 62H30 68T05 PDF BibTeX XML Cite \textit{H. D. Nguyen} et al., Jpn. J. Stat. Data Sci. 1, No. 1, 81--108 (2018; Zbl 1430.62272) Full Text: DOI OpenURL
Wang, Zhenwu; He, Guanyao Research on selection method of kernel function. (Chinese. English summary) Zbl 1438.68130 J. Hunan Univ., Nat. Sci. 45, No. 10, 155-160 (2018). MSC: 68T05 PDF BibTeX XML Cite \textit{Z. Wang} and \textit{G. He}, J. Hunan Univ., Nat. Sci. 45, No. 10, 155--160 (2018; Zbl 1438.68130) Full Text: DOI OpenURL
Yu, Jiaju; Li, Fule; Yu, Shuanghe; Wu, Ziku The approximate solutions to source inverse problem of 1-D convection-diffusion equation by LS-SVM. (English) Zbl 1409.74055 Inverse Probl. Sci. Eng. 26, No. 5, 677-690 (2018). MSC: 74S30 65M32 65K05 PDF BibTeX XML Cite \textit{J. Yu} et al., Inverse Probl. Sci. Eng. 26, No. 5, 677--690 (2018; Zbl 1409.74055) Full Text: DOI OpenURL
Bar, Haim; Booth, James; Wells, Martin T.; Liu, Kangyan Facilitating high-dimensional transparent classification via empirical Bayes variable selection. (English) Zbl 07033559 Appl. Stoch. Models Bus. Ind. 34, No. 6, 949-961 (2018). MSC: 62H30 62C12 62J12 PDF BibTeX XML Cite \textit{H. Bar} et al., Appl. Stoch. Models Bus. Ind. 34, No. 6, 949--961 (2018; Zbl 07033559) Full Text: DOI OpenURL
Mohri, Mehryar; Rostamizadeh, Afshin; Talwalkar, Ameet Foundations of machine learning. 2nd edition. (English) Zbl 1407.68007 Adaptive Computation and Machine Learning. Cambridge, MA: MIT Press (ISBN 978-0-262-03940-6/hbk). xv, 486 p., open access (2018). MSC: 68-01 68T05 PDF BibTeX XML Cite \textit{M. Mohri} et al., Foundations of machine learning. 2nd edition. Cambridge, MA: MIT Press (2018; Zbl 1407.68007) Full Text: Link OpenURL
Salehpour, Elham; Vahidi, Javad; Hossinzadeh, Hssan Solving optimal control problems by PSO-SVM. (English) Zbl 1424.65091 Comput. Methods Differ. Equ. 6, No. 3, 312-325 (2018). MSC: 65K10 49M20 PDF BibTeX XML Cite \textit{E. Salehpour} et al., Comput. Methods Differ. Equ. 6, No. 3, 312--325 (2018; Zbl 1424.65091) Full Text: Link OpenURL
Windridge, David; Mengoni, Riccardo; Nagarajan, Rajagopal Quantum error-correcting output codes. (English) Zbl 1407.81082 Int. J. Quantum Inf. 16, No. 8, Article ID 1840003, 12 p. (2018). MSC: 81P70 81P68 68T05 94B60 PDF BibTeX XML Cite \textit{D. Windridge} et al., Int. J. Quantum Inf. 16, No. 8, Article ID 1840003, 12 p. (2018; Zbl 1407.81082) Full Text: DOI OpenURL
Valera, Manuel; Guo, Zhengyang; Kelly, Priscilla; Matz, Sean; Cantu, Vito Adrian; Percus, Allon G.; Hyman, Jeffrey D.; Srinivasan, Gowri; Viswanathan, Hari S. Machine learning for graph-based representations of three-dimensional discrete fracture networks. (English) Zbl 1405.76059 Comput. Geosci. 22, No. 3, 695-710 (2018). MSC: 76S05 05C90 68T05 74L10 86A60 PDF BibTeX XML Cite \textit{M. Valera} et al., Comput. Geosci. 22, No. 3, 695--710 (2018; Zbl 1405.76059) Full Text: DOI arXiv OpenURL
Zhang, Quan; Zhou, Mingyuan Permuted and augmented stick-breaking Bayesian multinomial regression. (English) Zbl 1473.62259 J. Mach. Learn. Res. 18(2017-2018), Paper No. 204, 33 p. (2018). MSC: 62J12 62G08 PDF BibTeX XML Cite \textit{Q. Zhang} and \textit{M. Zhou}, J. Mach. Learn. Res. 18, Paper No. 204, 33 p. (2018; Zbl 1473.62259) Full Text: arXiv Link OpenURL
Wang, Chao; Liu, Xiaowei; Ha, Minghu; Zhao, Ting Credibility support vector machines based on fuzzy outputs. (English) Zbl 1398.68462 Soft Comput. 22, No. 16, 5429-5437 (2018). MSC: 68T05 68T37 PDF BibTeX XML Cite \textit{C. Wang} et al., Soft Comput. 22, No. 16, 5429--5437 (2018; Zbl 1398.68462) Full Text: DOI OpenURL
Gao, Xiongfei Time series prediction based on chaotic least squares support vector machines. (Chinese. English summary) Zbl 1413.62138 Math. Pract. Theory 48, No. 8, 239-244 (2018). MSC: 62M10 62M20 62P12 68T05 PDF BibTeX XML Cite \textit{X. Gao}, Math. Pract. Theory 48, No. 8, 239--244 (2018; Zbl 1413.62138) OpenURL
Tang, Zhenpeng; Huang, Shuangshuang; Chen, Weihong Research on the systemically important evaluation of banks based on support vector machine. (Chinese. English summary) Zbl 1413.91135 J. Syst. Sci. Math. Sci. 38, No. 1, 57-77 (2018). MSC: 91G70 62M10 62H05 68T05 68T20 PDF BibTeX XML Cite \textit{Z. Tang} et al., J. Syst. Sci. Math. Sci. 38, No. 1, 57--77 (2018; Zbl 1413.91135) OpenURL