Arvanitis, Stelios Concentration inequalities for kernel density estimators under uniform mixing. (English) Zbl 07716681 J. Korean Stat. Soc. 52, No. 2, 440-449 (2023). MSC: 62-XX PDF BibTeX XML Cite \textit{S. Arvanitis}, J. Korean Stat. Soc. 52, No. 2, 440--449 (2023; Zbl 07716681) Full Text: DOI
Chakravarty, Srinivas Fuzzy approaches Against outliers and applications in wind energy (Abstract of thesis). (English) Zbl 07716598 Bull. Aust. Math. Soc. 107, No. 2, 346-348 (2023). MSC: 62P12 62A86 PDF BibTeX XML Cite \textit{S. Chakravarty}, Bull. Aust. Math. Soc. 107, No. 2, 346--348 (2023; Zbl 07716598) Full Text: DOI
Kang, Ilsuk; Park, Cheolwoo; Yoon, Young Joo; Park, Changyi; Kwon, Soon-Sun; Choi, Hosik Classification of histogram-valued data with support histogram machines. (English) Zbl 07697897 J. Appl. Stat. 50, No. 3, 675-690 (2023). MSC: 62-XX PDF BibTeX XML Cite \textit{I. Kang} et al., J. Appl. Stat. 50, No. 3, 675--690 (2023; Zbl 07697897) Full Text: DOI
Khanjani-Shiraz, Rashed; Babapour-Azar, Ali; Hosseini-Nodeh, Zohreh; Pardalos, Panos M. Distributionally robust joint chance-constrained support vector machines. (English) Zbl 1514.90175 Optim. Lett. 17, No. 2, 299-332 (2023). MSC: 90C17 90C22 PDF BibTeX XML Cite \textit{R. Khanjani-Shiraz} et al., Optim. Lett. 17, No. 2, 299--332 (2023; Zbl 1514.90175) Full Text: DOI
Rangel-Patiño, Francisco E.; Rayas-Sánchez, José E. Surrogate-based modeling and design optimization techniques for signal integrity in high-performance computer platforms. (English) Zbl 07733184 Koziel, Slawomir (ed.) et al., Surrogate modeling for high-frequency design. Recent advances. Singapore: World Scientific. 153-211 (2022). MSC: 78A40 78A50 78A55 78M32 62F15 PDF BibTeX XML Cite \textit{F. E. Rangel-Patiño} and \textit{J. E. Rayas-Sánchez}, in: Surrogate modeling for high-frequency design. Recent advances. Singapore: World Scientific. 153--211 (2022; Zbl 07733184) Full Text: DOI
Cipolla, S.; Gondzio, J. Training very large scale nonlinear SVMs using alternating direction method of multipliers coupled with the hierarchically semi-separable kernel approximations. (English) Zbl 07711265 EURO J. Comput. Optim. 10, Article ID 100046, 17 p. (2022). MSC: 90Cxx PDF BibTeX XML Cite \textit{S. Cipolla} and \textit{J. Gondzio}, EURO J. Comput. Optim. 10, Article ID 100046, 17 p. (2022; Zbl 07711265) Full Text: DOI arXiv
Tanveer, M.; Tiwari, A.; Choudhary, R.; Ganaie, M. A. Large-scale pinball twin support vector machines. (English) Zbl 07624280 Mach. Learn. 111, No. 10, 3525-3548 (2022). MSC: 68T05 PDF BibTeX XML Cite \textit{M. Tanveer} et al., Mach. Learn. 111, No. 10, 3525--3548 (2022; Zbl 07624280) Full Text: DOI
Pei, Eddie; Fokoué, Ernest On some similarities and differences between deep neural networks and kernel learning machines. (English) Zbl 07617476 Math. Appl., Brno 11, No. 1, 75-106 (2022). MSC: 68T07 68T09 46E22 PDF BibTeX XML Cite \textit{E. Pei} and \textit{E. Fokoué}, Math. Appl., Brno 11, No. 1, 75--106 (2022; Zbl 07617476) Full Text: DOI
Xu, Yongli; Yang, Yi; Huo, Yanjiao; Hu, Man A group of novel indexes of optical coherence tomography for computer-aided diagnosis of glaucoma. (English) Zbl 1497.62290 J. Nonlinear Convex Anal. 23, No. 10, 2437-2447 (2022). MSC: 62P10 62R10 68T10 PDF BibTeX XML Cite \textit{Y. Xu} et al., J. Nonlinear Convex Anal. 23, No. 10, 2437--2447 (2022; Zbl 1497.62290) Full Text: Link
Jackson, Peter L. Support vector machines as Bayes’ classifiers. (English) Zbl 07602456 Oper. Res. Lett. 50, No. 5, 423-429 (2022). MSC: 90-XX PDF BibTeX XML Cite \textit{P. L. Jackson}, Oper. Res. Lett. 50, No. 5, 423--429 (2022; Zbl 07602456) Full Text: DOI
Valero-Carreras, Daniel; Aparicio, Juan; Guerrero, Nadia M. Multi-output support vector frontiers. (English) Zbl 1511.90257 Comput. Oper. Res. 143, Article ID 105765, 17 p. (2022). MSC: 90B50 68T05 91B38 PDF BibTeX XML Cite \textit{D. Valero-Carreras} et al., Comput. Oper. Res. 143, Article ID 105765, 17 p. (2022; Zbl 1511.90257) Full Text: DOI
Chandna, Akshat; Srinivasan, Sanjay Mapping natural fracture networks using geomechanical inferences from machine learning approaches. (English) Zbl 1489.86018 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 1489.86018) Full Text: DOI
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 1492.92032 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 1492.92032) Full Text: DOI
Mousavi, Ahmad; Gao, Zheming; Han, Lanshan; Lim, Alvin Quadratic surface support vector machine with L1 norm regularization. (English) Zbl 1513.62126 J. Ind. Manag. Optim. 18, No. 3, 1835-1861 (2022). MSC: 62H30 68T05 90C25 PDF BibTeX XML Cite \textit{A. Mousavi} et al., J. Ind. Manag. Optim. 18, No. 3, 1835--1861 (2022; Zbl 1513.62126) Full Text: DOI arXiv
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 arXiv
Pircalabelu, Eugen; Artemiou, Andreas High-dimensional sufficient dimension reduction through principal projections. (English) Zbl 1493.62320 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 1493.62320) Full Text: DOI Link
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: arXiv Link
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
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
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
Campi, Marco C.; Garatti, Simone A theory of the risk for optimization with relaxation and its application to support vector machines. (English) Zbl 07626803 J. Mach. Learn. Res. 22, Paper No. 288, 38 p. (2021). MSC: 68T05 PDF BibTeX XML Cite \textit{M. C. Campi} and \textit{S. Garatti}, J. Mach. Learn. Res. 22, Paper No. 288, 38 p. (2021; Zbl 07626803) Full Text: Link
Muthukumar, Vidya; Narang, Adhyyan; Subramanian, Vignesh; Belkin, Mikhail; Hsu, Daniel; Sahai, Anant Classification vs regression in overparameterized regimes: does the loss function matter? (English) Zbl 07626737 J. Mach. Learn. Res. 22, Paper No. 222, 69 p. (2021). MSC: 68T05 PDF BibTeX XML Cite \textit{V. Muthukumar} et al., J. Mach. Learn. Res. 22, Paper No. 222, 69 p. (2021; Zbl 07626737) Full Text: arXiv Link
Ding, Min; Wu, Min; Yokoyama, Ryuichi; Nakanishi, Yosuke; Zhou, Yicheng A short-term wind power forecasting method based on hybrid-kernel least-squares support vector machine. (English) Zbl 07617271 Wu, Min (ed.) et al., Developments in advanced control and intelligent automation for complex systems. Cham: Springer. Stud. Syst. Decis. Control 329, 395-411 (2021). MSC: 62-XX PDF BibTeX XML Cite \textit{M. Ding} et al., Stud. Syst. Decis. Control 329, 395--411 (2021; Zbl 07617271) Full Text: DOI
Wang, Huajun; Xiu, Naihua Analysis of loss functions in support vector machines. (Chinese. English summary) Zbl 1513.68050 Adv. Math., Beijing 50, No. 6, 801-828 (2021). MSC: 68T05 68-02 90C90 PDF BibTeX XML Cite \textit{H. Wang} and \textit{N. Xiu}, Adv. Math., Beijing 50, No. 6, 801--828 (2021; Zbl 1513.68050) Full Text: DOI
Schlag, Sebastian; Schmitt, Matthias; Schulz, Christian Faster support vector machines. (English) Zbl 1499.68316 ACM J. Exp. Algorithm. 26, Paper No. 15, 21 p. (2021). MSC: 68T05 PDF BibTeX XML Cite \textit{S. Schlag} et al., ACM J. Exp. Algorithm. 26, Paper No. 15, 21 p. (2021; Zbl 1499.68316) Full Text: DOI
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: 62-XX 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
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
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
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
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
Tukan, Murad; Baykal, Cenk; Feldman, Dan; Rus, Daniela On coresets for support vector machines. (English) Zbl 1514.68263 Theor. Comput. Sci. 890, 171-191 (2021). MSC: 68T05 68T09 PDF BibTeX XML Cite \textit{M. Tukan} et al., Theor. Comput. Sci. 890, 171--191 (2021; Zbl 1514.68263) Full Text: DOI arXiv Link
Schuld, Maria; Petruccione, Francesco Machine learning with quantum computers. 2nd edition, originally published under 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, originally published under the title Supervised learning with quantum computers. Cham: Springer (2021; Zbl 1473.81010) Full Text: DOI
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
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
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
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
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
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
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
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
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
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
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
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
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
Howell, Owen; Wenping, Cui; Marsland III, Robert; Mehta, Pankaj Machine learning as ecology. (English) Zbl 07643702 J. Phys. A, Math. Theor. 53, No. 33, Article ID 334001, 18 p. (2020). MSC: 68T07 92D40 PDF BibTeX XML Cite \textit{O. Howell} et al., J. Phys. A, Math. Theor. 53, No. 33, Article ID 334001, 18 p. (2020; Zbl 07643702) Full Text: DOI arXiv
Bishwas, Arit Kumar; Mani, Ashish; Palade, Vasile An investigation on support vector clustering for big data in quantum paradigm. (English) Zbl 1508.81417 Quantum Inf. Process. 19, No. 4, Paper No. 108, 17 p. (2020). MSC: 81P68 68T10 62H30 68Q12 PDF BibTeX XML Cite \textit{A. K. Bishwas} et al., Quantum Inf. Process. 19, No. 4, Paper No. 108, 17 p. (2020; Zbl 1508.81417) Full Text: DOI arXiv
Strömberg, Niclas Efficient detailed design optimization of topology optimization concepts by using support vector machines and metamodels. (English) Zbl 07637156 Eng. Optim. 52, No. 7, 1136-1148 (2020). MSC: 90-XX PDF BibTeX XML Cite \textit{N. Strömberg}, Eng. Optim. 52, No. 7, 1136--1148 (2020; Zbl 07637156) Full Text: DOI
Akhmedova, Shakhnaz; Semenkina, Maria; Stanovov, Vladimir; Semenkin, Eugene Semi-supervised data mining tool design with self-tuning optimization techniques. (English) Zbl 07627217 Gusikhin, Oleg (ed.) et al., Informatics in control, automation and robotics. 14th international conference, ICINCO 2017 Madrid, Spain, July 26–28, 2017 Revised selected papers. Cham: Springer. Lect. Notes Electr. Eng. 495, 87-105 (2020). MSC: 68-XX PDF BibTeX XML Cite \textit{S. Akhmedova} et al., Lect. Notes Electr. Eng. 495, 87--105 (2020; Zbl 07627217) Full Text: DOI
Sangiorgio, Matteo; Barindelli, Stefano; Guglieri, Valerio; Biondi, Riccardo; Solazzo, Enrico; Realini, Eugenio; Venuti, Giovanna; Guariso, Giorgio A comparative study on machine learning techniques for intense convective rainfall events forecasting. (English) Zbl 07617305 Valenzuela, Olga (ed.) et al., Theory and applications of time series analysis. Selected contributions from the sixth international conference, ITISE 2019, Granada, Spain, September 2019. Cham: Springer. Contrib. Stat., 305-317 (2020). MSC: 62M10 PDF BibTeX XML Cite \textit{M. Sangiorgio} et al., in: Theory and applications of time series analysis. Selected contributions from the sixth international conference, ITISE 2019, Granada, Spain, September 2019. Cham: Springer. 305--317 (2020; Zbl 07617305) Full Text: DOI
De Leone, Renato; Egidi, Nadaniela; Fatone, Lorella The use of grossone in elastic net regularization and sparse support vector machines. (English) Zbl 1491.65047 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 1491.65047) Full Text: DOI Link
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
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
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
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
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
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
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
Blanco, Victor; Puerto, Justo; Rodriguez-Chia, Antonio M. On \(\ell_p\)-support vector machines and multidimensional kernels. (English) Zbl 1498.68224 J. Mach. Learn. Res. 21, Paper No. 14, 29 p. (2020). MSC: 68T05 62H30 62J07 90C22 PDF BibTeX XML Cite \textit{V. Blanco} et al., J. Mach. Learn. Res. 21, Paper No. 14, 29 p. (2020; Zbl 1498.68224) Full Text: arXiv Link
Hung, Ying-Chao; Michailidis, George; PakHai Lok, Horace Locating infinite discontinuities in computer experiments. (English) Zbl 1494.68216 SIAM/ASA J. Uncertain. Quantif. 8, 717-747 (2020). MSC: 68T05 62K05 PDF BibTeX XML Cite \textit{Y.-C. Hung} et al., SIAM/ASA J. Uncertain. Quantif. 8, 717--747 (2020; Zbl 1494.68216) Full Text: DOI
Vanderbei, Robert J. Comments on: “Distance geometry and data science”. (English) Zbl 1511.51008 Top 28, No. 2, 348-349 (2020). Reviewer: Frank Plastria (Brussels) MSC: 51K05 65K10 90C22 PDF BibTeX XML Cite \textit{R. J. Vanderbei}, Top 28, No. 2, 348--349 (2020; Zbl 1511.51008) Full Text: DOI
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
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
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
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
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
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
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
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
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
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
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
Reynolds, Evan; Callaghan, Brian; Banerjee, Mousumi SVM-CART for disease classification. (English) Zbl 1516.62567 J. Appl. Stat. 46, No. 16, 2987-3007 (2019). MSC: 62-XX PDF BibTeX XML Cite \textit{E. Reynolds} et al., J. Appl. Stat. 46, No. 16, 2987--3007 (2019; Zbl 1516.62567) Full Text: DOI
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
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
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
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
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
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
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
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
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
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
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
Aravindh, A.; Shiju, S. S.; Sumitra, S. Kernel collaborative online algorithms for multi-task learning. (English) Zbl 1493.68289 Ann. Math. Artif. Intell. 86, No. 4, 269-286 (2019). MSC: 68T05 46E22 68W27 PDF BibTeX XML Cite \textit{A. Aravindh} et al., Ann. Math. Artif. Intell. 86, No. 4, 269--286 (2019; Zbl 1493.68289) Full Text: DOI
Panagopoulos, Orestis P.; Xanthopoulos, Petros; Razzaghi, Talayeh; Şeref, Onur Relaxed support vector regression. (English) Zbl 1493.68312 Ann. Oper. Res. 276, No. 1-2, 191-210 (2019). MSC: 68T05 62H30 62J02 PDF BibTeX XML Cite \textit{O. P. Panagopoulos} et al., Ann. Oper. Res. 276, No. 1--2, 191--210 (2019; Zbl 1493.68312) Full Text: DOI
Ketabchi, Saeed; Moosaei, Hossein; Razzaghi, Mohamad; Pardalos, Panos M. An improvement on parametric \(\nu\)-support vector algorithm for classification. (English) Zbl 1493.68303 Ann. Oper. Res. 276, No. 1-2, 155-168 (2019). MSC: 68T05 62H30 90C20 PDF BibTeX XML Cite \textit{S. Ketabchi} et al., Ann. Oper. Res. 276, No. 1--2, 155--168 (2019; Zbl 1493.68303) Full Text: DOI
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
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 Link
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
Csáji, Balázs Cs.; Kis, Krisztián B. Distribution-free uncertainty quantification for kernel methods by gradient perturbations. (English) Zbl 1494.62012 Mach. Learn. 108, No. 8-9, 1677-1699 (2019). MSC: 62G15 62H30 62G08 68T05 PDF BibTeX XML Cite \textit{B. Cs. Csáji} and \textit{K. B. Kis}, Mach. Learn. 108, No. 8--9, 1677--1699 (2019; Zbl 1494.62012) Full Text: DOI arXiv
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
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
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
Tong, Hongzhi; Chen, Di-Rong; Yang, Fenghong Support vector machines regression with unbounded sampling. (English) Zbl 1489.68233 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 1489.68233) Full Text: DOI
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
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
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
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
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