Kaushik, Chiraag; McRae, Andrew D.; Davenport, Mark; Muthukumar, Vidya New equivalences between interpolation and SVMs: kernels and structured features. (English) Zbl 07924691 SIAM J. Math. Data Sci. 6, No. 3, 761-787 (2024). MSC: 62H30 62J07 68Q32 46E22 × Cite Format Result Cite Review PDF Full Text: DOI arXiv
Kent, Sean; Yu, Menggang Nonconvex SVM for cancer diagnosis based on morphologic features of tumor microenvironment. (English) Zbl 07923925 Ann. Appl. Stat. 18, No. 3, 2187-2206 (2024). MSC: 62Pxx × Cite Format Result Cite Review PDF Full Text: DOI arXiv Link
Eslamian, M.; Kamandi, A.; Tahmasbi, A. Inertial methods for split common fixed point problems: application to binary classification in machine learning. (English) Zbl 07910918 Comput. Appl. Math. 43, No. 6, Paper No. 371, 20 p. (2024). MSC: 47H10 47J20 47J25 65K15 × Cite Format Result Cite Review PDF Full Text: DOI
Laxmi, Scindhiya; Gupta, S. K.; Kumar, Sumit Intuitionistic fuzzy least square twin support vector machines for pattern classification. (English) Zbl 07910155 Ann. Oper. Res. 339, No. 3, 1329-1378 (2024). MSC: 68T05 03E72 × Cite Format Result Cite Review PDF Full Text: DOI
Tanveer, M.; Rajani, T.; Rastogi, R.; Shao, Y. H.; Ganaie, M. A. Comprehensive review on twin support vector machines. (English) Zbl 07910152 Ann. Oper. Res. 339, No. 3, 1223-1268 (2024). MSC: 68T05 62H30 90C99 68T10 × Cite Format Result Cite Review PDF Full Text: DOI arXiv
Kim, Sion; Kissel, Ezra; Matouš, Karel Adaptive and parallel multiscale framework for modeling cohesive failure in engineering scale systems. (English) Zbl 07897595 Comput. Methods Appl. Mech. Eng. 429, Article ID 117191, 20 p. (2024). MSC: 74-XX 68-XX × Cite Format Result Cite Review PDF Full Text: DOI arXiv
Wang, Boxiang; Zhou, Le; Yang, Jian; Mai, Qing Density-convoluted tensor support vector machines. (English) Zbl 07870189 Stat. Interface 17, No. 2, 231-247 (2024). MSC: 62-XX 62H30 62-07 × Cite Format Result Cite Review PDF Full Text: DOI
Caliciotti, Andrea; Corazza, Marco; Fasano, Giovanni From regression models to machine learning approaches for long term bitcoin price forecast. (English) Zbl 1537.91365 Ann. Oper. Res. 336, No. 1-2, 359-381 (2024). MSC: 91G99 62P05 62F40 × Cite Format Result Cite Review PDF Full Text: DOI
Spicker, Dylan; Moodie, Erica E. M.; Shortreed, Susan M. Differentially private outcome-weighted learning for optimal dynamic treatment regime estimation. (English) Zbl 07858768 Stat 13, No. 1, Paper No. e641, 14 p. (2024). MSC: 62-XX × Cite Format Result Cite Review PDF Full Text: DOI OA License
Çakır, Süleyman Best output prediction in OECD railways using DEA in conjunction with machine learning algorithms. (English) Zbl 07856392 Ann. Oper. Res. 335, No. 1, 59-77 (2024). MSC: 90B50 91B06 90C08 62R07 × Cite Format Result Cite Review PDF Full Text: DOI
Abbaszadeh, Mostafa; Zaky, Mahmoud A.; Hendy, Ahmed S.; Dehghan, Mehdi Supervised learning and meshless methods for two-dimensional fractional PDEs on irregular domains. (English) Zbl 1540.35429 Math. Comput. Simul. 216, 77-103 (2024). MSC: 35R11 × Cite Format Result Cite Review PDF Full Text: DOI
Benítez-Peña, Sandra; Blanquero, Rafael; Carrizosa, Emilio; Ramírez-Cobo, Pepa Cost-sensitive probabilistic predictions for support vector machines. (English) Zbl 07833026 Eur. J. Oper. Res. 314, No. 1, 268-279 (2024). MSC: 90Bxx × Cite Format Result Cite Review PDF Full Text: DOI arXiv
D’Onofrio, Federico; Grani, Giorgio; Monaci, Marta; Palagi, Laura Margin optimal classification trees. (English) Zbl 07765549 Comput. Oper. Res. 161, Article ID 106441, 19 p. (2024). MSC: 90Bxx × Cite Format Result Cite Review PDF Full Text: DOI arXiv OA License
Liu, Ju; Huang, Ling-Wei; Shao, Yuan-Hai; Chen, Wei-Jie; Li, Chun-Na A nonlinear kernel SVM Classifier via \(L_{0/1}\) soft-margin loss with classification performance. (English) Zbl 07750642 J. Comput. Appl. Math. 437, Article ID 115471, 17 p. (2024). MSC: 68T05 68Q32 90C26 62H30 90C90 × Cite Format Result Cite Review PDF Full Text: DOI
Hind, Alexander; Wiggins, Stephen Learning reactive islands of the Voter97 system. (English) Zbl 07847298 Int. J. Bifurcation Chaos Appl. Sci. Eng. 33, No. 2, Article ID 2350026, 14 p. (2023). MSC: 68T05 37M21 × Cite Format Result Cite Review PDF Full Text: DOI
Wang, Boxiang; Zhou, Le; Gu, Yuwen; Zou, Hui Density-convoluted support vector machines for high-dimensional classification. (English) Zbl 07820139 IEEE Trans. Inf. Theory 69, No. 4, 2523-2536 (2023). MSC: 62H30 68T05 90C25 90C90 × Cite Format Result Cite Review PDF Full Text: DOI
Franchini, Giorgia; Ruggiero, Valeria; Porta, Federica; Zanni, Luca Neural architecture search via standard machine learning methodologies. (English) Zbl 07817647 Math. Eng. (Springfield) 5, No. 1, Paper No. 12, 21 p. (2023). MSC: 68-XX 90-XX × Cite Format Result Cite Review PDF Full Text: DOI OA License
Mahbobi, Mohammad; Kimiagari, Salman; Vasudevan, Marriappan Credit risk classification: an integrated predictive accuracy algorithm using artificial and deep neural networks. (English) Zbl 1532.91129 Ann. Oper. Res. 330, No. 1-2, 609-637 (2023). MSC: 91G40 68T07 × Cite Format Result Cite Review PDF Full Text: DOI
Griva, Igor To rescale or to project? Solving quadratic programming problems with Lagrange multipliers methods. (English) Zbl 1522.65091 Pure Appl. Funct. Anal. 8, No. 3, 829-845 (2023). MSC: 65K05 90C06 90C20 90C90 × Cite Format Result Cite Review PDF Full Text: Link
Pastorello, Davide Concise guide to quantum machine learning. (English) Zbl 1530.68003 Machine Learning: Foundations, Methodologies, and Applications. Singapore: Springer (ISBN 978-981-19689-6-9/hbk; 978-981-19689-9-0/pbk; 978-981-19689-7-6/ebook). x, 138 p. (2023). Reviewer: Irina Ioana Mohorianu (Oxford) MSC: 68-01 68Q12 68T05 68T10 81P68 × Cite Format Result Cite Review PDF Full Text: DOI
James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert; Taylor, Jonathan An introduction to statistical learning. With applications in Python. (English) Zbl 07724265 Springer Texts in Statistics. Cham: Springer (ISBN 978-3-031-38746-3/hbk; 978-3-031-39189-7/pbk; 978-3-031-38747-0/ebook). xv, 60 p. (2023). Reviewer: Nirode C. Mohanty (Huntington Beach) MSC: 62-01 62H30 62-04 62R07 62J12 62H25 68T05 × Cite Format Result Cite Review PDF Full Text: DOI
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 × Cite Format Result Cite Review PDF Full Text: DOI OA License
Chakravarty, Srinivas Fuzzy approaches against outliers and applications in wind energy. (Abstract of thesis). (English) Zbl 1523.62250 Bull. Aust. Math. Soc. 107, No. 2, 346-348 (2023). MSC: 62P12 62J86 68T07 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF Full Text: DOI Link
Dinov, Ivo D. Data science and predictive analytics. Biomedical and health applications using R. 2nd revised edition. (English) Zbl 07662537 The Springer Series in Applied Machine Learning. Cham: Springer (ISBN 978-3-031-17482-7/hbk; 978-3-031-17485-8/pbk; 978-3-031-17483-4/ebook). xxxiv, 918 p. (2023). Reviewer: Irina Ioana Mohorianu (Oxford) MSC: 68-01 62-01 62R07 62P10 68T05 68T07 68T09 92C50 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF Full Text: DOI
Sarang, Poornachandra Thinking data science. A data science practitioner’s guidebook. (English) Zbl 1530.68004 The Springer Series in Applied Machine Learning. Cham: Springer (ISBN 978-3-031-02362-0/hbk; 978-3-031-02365-1/pbk; 978-3-031-02363-7/ebook). xx, 358 p. (2023). Reviewer: Irina Ioana Mohorianu (Oxford) MSC: 68-01 62-01 62H30 62R07 68T05 68T07 68T09 68T50 × Cite Format Result Cite Review PDF Full Text: DOI
Adams, Henry; Farnell, Elin; Story, Brittany Support vector machines and Radon’s theorem. (English) Zbl 07805156 Found. Data Sci. 4, No. 4, 467-494 (2022). MSC: 52A35 52C35 52-08 68U05 × Cite Format Result Cite Review PDF Full Text: DOI arXiv
Akar, Mutlu; Sirakov, Nikolay M.; Mete, Mutlu Clifford algebra multivectors and kernels for melanoma classification. (English) Zbl 1530.92035 Math. Methods Appl. Sci. 45, No. 7, 4056-4068 (2022). MSC: 92C32 15A67 68T05 × Cite Format Result Cite Review PDF Full Text: DOI
Jung, Alexander Machine learning. The basics. (English) Zbl 1530.68002 Machine Learning: Foundations, Methodologies, and Applications. Singapore: Springer (ISBN 978-981-16-8192-9/hbk; 978-981-16-8195-0/pbk; 978-981-16-8193-6/ebook). xvii, 212 p. (2022). Reviewer: Irina Ioana Mohorianu (Oxford) MSC: 68-01 68T05 × Cite Format Result Cite Review PDF Full Text: DOI arXiv
Hao, Pei-Yi; Chiang, Jung-Hsien; Chen, Yu-De Possibilistic classification by support vector networks. (English) Zbl 07750021 Neural Netw. 149, 40-56 (2022). MSC: 68T05 68T37 × Cite Format Result Cite Review PDF 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: 78-XX 62-XX 90-XX × Cite Format Result Cite Review PDF Full Text: DOI
Rodemann, Julian; Kreiss, Dominik; Hüllermeier, Eyke; Augustin, Thomas Levelwise data disambiguation by cautious superset classification. (English) Zbl 1524.68295 Dupin de Saint-Cyr, Florence (ed.) et al., Scalable uncertainty management. 15th international conference, SUM 2022, Paris, France, October 17–19, 2022. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 13562, 263-276 (2022). MSC: 68T05 62H30 62P25 68T09 68T37 × Cite Format Result Cite Review PDF 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 1530.68208 EURO J. Comput. Optim. 10, Article ID 100046, 17 p. (2022). MSC: 68T05 90C90 × Cite Format Result Cite Review PDF Full Text: DOI arXiv OA License
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 × Cite Format Result Cite Review PDF Full Text: DOI
Pei, Eddie; Fokoué, Ernest On some similarities and differences between deep neural networks and kernel learning machines. (English) Zbl 1524.68325 Math. Appl. (Brno) 11, No. 1, 75-106 (2022). MSC: 68T07 46E22 68T05 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF Full Text: Link
Jackson, Peter L. Support vector machines as Bayes’ classifiers. (English) Zbl 1525.62026 Oper. Res. Lett. 50, No. 5, 423-429 (2022). MSC: 62H30 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF Full Text: DOI OA License
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 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF Full Text: DOI arXiv OA License
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 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF Full Text: DOI
Liu, Chenguang; Zheng, Huarong; Negenborn, Rudy; Chu, Xiumin; Xie, Shuo Adaptive predictive path following control based on least squares support vector machines for underactuated autonomous vessels. (English) Zbl 07878817 Asian J. Control 23, No. 1, 432-448 (2021). MSC: 93-XX × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF Full Text: arXiv 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 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF Full Text: DOI
Schlag, Sebastian; Schmitt, Matthias; Schulz, Christian Faster support vector machines. (English) Zbl 1499.68316 ACM J. Exp. Algorithm. 26, Article No. 15, 21 p. (2021). MSC: 68T05 × Cite Format Result Cite Review PDF Full Text: DOI arXiv
Başoğlu Kabran, Fatma; Ünlü, Kamil Demirberk A two-step machine learning approach to predict S&P 500 bubbles. (English) Zbl 1521.62258 J. Appl. Stat. 48, No. 13-15, 2776-2794 (2021). MSC: 62-XX × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF Full Text: DOI arXiv Link
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 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF Full Text: DOI
Hang, Hanyuan; Steinwart, Ingo Optimal learning with anisotropic Gaussian SVMs. (English) Zbl 1528.68342 Appl. Comput. Harmon. Anal. 55, 337-367 (2021). MSC: 68T05 47B32 62G08 90C90 × Cite Format Result Cite Review PDF Full Text: DOI arXiv Link
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 × Cite Format Result Cite Review PDF Full Text: DOI arXiv
Li, Zhu; Ton, Jean-Francois; Oglic, Dino; Sejdinovic, Dino Towards a unified analysis of random Fourier features. (English) Zbl 1541.68321 J. Mach. Learn. Res. 22, Paper No. 108, 51 p. (2021). MSC: 68T05 62G08 62H30 62J07 62J12 × Cite Format Result Cite Review PDF Full Text: arXiv Link
Hang, Hanyuan; Lin, Zhouchen; Liu, Xiaoyu; Wen, Hongwei Histogram transform ensembles for large-scale regression. (English) Zbl 1540.68212 J. Mach. Learn. Res. 22, Paper No. 95, 87 p. (2021). MSC: 68T05 62G08 × Cite Format Result Cite Review PDF 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 1539.65064 J. Mach. Learn. Res. 22, Paper No. 23, 38 p. (2021). MSC: 65K05 68T05 90C06 90C20 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF 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 1524.65974 Math. Comput. Simul. 180, 114-128 (2021). MSC: 65R20 45B05 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF Full Text: DOI
Howell, Owen; Wenping, Cui; Marsland, Robert III; Mehta, Pankaj Machine learning as ecology. (English) Zbl 1519.68218 J. Phys. A, Math. Theor. 53, No. 33, Article ID 334001, 18 p. (2020). MSC: 68T05 92D40 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF Full Text: DOI arXiv
Strömberg, Niclas Efficient detailed design optimization of topology optimization concepts by using support vector machines and metamodels. (English) Zbl 1523.74144 Eng. Optim. 52, No. 7, 1136-1148 (2020). MSC: 74P15 65K05 68T05 90C90 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF Full Text: DOI
Liu, Fanghui; Huang, Xiaolin; Gong, Chen; Yang, Jie; Li, Li Learning data-adaptive non-parametric kernels. (English) Zbl 1529.68260 J. Mach. Learn. Res. 21, Paper No. 208, 39 p. (2020). MSC: 68T05 62H30 90C90 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF Full Text: DOI OA License
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 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF 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 × Cite Format Result Cite Review PDF Full Text: DOI HAL
Wang, Xin; Zhang, Hao Helen; Wu, Yichao Multiclass probability estimation with support vector machines. (English) Zbl 1535.62036 J. Comput. Graph. Stat. 28, No. 3, 586-595 (2019). MSC: 62H30 68T05 × Cite Format Result Cite Review PDF Full Text: DOI