review-article

Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond

IEEE Transactions on Neural Networks, Volume 16, Issue 3

Page 781

https://doi.org/10.1109/TNN.2005.848998

Published: 01 May 2005 Publication History

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Abdulla PLiang CRümmer P(2024)Boosting Constrained Horn Solving by Unsat Core LearningVerification, Model Checking, and Abstract Interpretation10.1007/978-3-031-50524-9_13(280-302)Online publication date: 15-Jan-2024
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Cabannes VVigogna SOh ANaumann TGloberson ASaenko KHardt MLevine S(2023)How many samples are needed to leverage smoothness?Proceedings of the 37th International Conference on Neural Information Processing Systems10.5555/3666122.3667286(26776-26809)Online publication date: 10-Dec-2023
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Cabannes VKiani BBalestriero RLeCun YBietti AKrause ABrunskill ECho KEngelhardt BSabato SScarlett J(2023)The SSL interplayProceedings of the 40th International Conference on Machine Learning10.5555/3618408.3618541(3252-3298)Online publication date: 23-Jul-2023
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Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
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cover image IEEE Transactions on Neural Networks

IEEE Transactions on Neural Networks Volume 16, Issue 3

May 2005

272 pages

ISSN:1045-9227

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Published: 01 May 2005

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Abdulla PLiang CRümmer P(2024)Boosting Constrained Horn Solving by Unsat Core LearningVerification, Model Checking, and Abstract Interpretation10.1007/978-3-031-50524-9_13(280-302)Online publication date: 15-Jan-2024
https://dl.acm.org/doi/10.1007/978-3-031-50524-9_13
Cabannes VVigogna SOh ANaumann TGloberson ASaenko KHardt MLevine S(2023)How many samples are needed to leverage smoothness?Proceedings of the 37th International Conference on Neural Information Processing Systems10.5555/3666122.3667286(26776-26809)Online publication date: 10-Dec-2023
https://dl.acm.org/doi/10.5555/3666122.3667286
Cabannes VKiani BBalestriero RLeCun YBietti AKrause ABrunskill ECho KEngelhardt BSabato SScarlett J(2023)The SSL interplayProceedings of the 40th International Conference on Machine Learning10.5555/3618408.3618541(3252-3298)Online publication date: 23-Jul-2023
https://dl.acm.org/doi/10.5555/3618408.3618541
Money RKrishnan JBeferull-Lozano B(2023)Sparse Online Learning With Kernels Using Random Features for Estimating Nonlinear Dynamic GraphsIEEE Transactions on Signal Processing10.1109/TSP.2023.328206871(2027-2042)Online publication date: 1-Jan-2023
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Çelikkanat AShen YMalliaros F(2023)Multiple Kernel Representation Learning on NetworksIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2022.317204835:6(6113-6125)Online publication date: 1-Jun-2023
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Guido RGroccia MConforti D(2023)A hyper-parameter tuning approach for cost-sensitive support vector machine classifiersSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-022-06768-827:18(12863-12881)Online publication date: 1-Sep-2023
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Tirunagari SMohan SWindridge DBalla Y(2023)Addressing Challenges in Healthcare Big Data AnalyticsMulti-disciplinary Trends in Artificial Intelligence10.1007/978-3-031-36402-0_70(757-765)Online publication date: 21-Jul-2023
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Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond

Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond

Regularization, Optimization, Kernels, and Support Vector Machines

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Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond

Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond

Regularization, Optimization, Kernels, and Support Vector Machines

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