On the Generalization of Kernel Machines

Pattern Recognition with Support Vector Machines - Lecture Notes in Computer Science ◽

10.1007/3-540-45665-1_3 ◽

2002 ◽

pp. 24-39 ◽

Author(s):

Pablo Navarrete ◽

Javier Ruiz del Solar

Keyword(s):

Kernel Machines

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Hierarchical Kernel Machines: The Mathematics of Learning Inspired by Visual Cortex

10.21236/ada580529 ◽

2013 ◽

Author(s):

Tomaso Poggio ◽

Stephen Smale

Keyword(s):

Visual Cortex ◽

Kernel Machines

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Induction of Robust Classifiers for Web Ontologies Through Kernel Machines

SSRN Electronic Journal ◽

10.2139/ssrn.3198934 ◽

2012 ◽

Author(s):

Nicola Fanizzi ◽

Claudia d'Amato ◽

Floriana Esposito

Keyword(s):

Kernel Machines

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Communication-Efficient Distributed Block Minimization for Nonlinear Kernel Machines

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '17 ◽

10.1145/3097983.3098080 ◽

2017 ◽

Author(s):

Cho-Jui Hsieh ◽

Si Si ◽

Inderjit S. Dhillon

Keyword(s):

Kernel Machines

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Kernel machines for current status data

Machine Learning ◽

10.1007/s10994-020-05930-3 ◽

2020 ◽

Author(s):

Yael Travis-Lumer ◽

Yair Goldberg

Keyword(s):

Current Status Data ◽

Current Status ◽

Kernel Machines ◽

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Local Minimax Learning of Functions With Best Finite Sample Estimation Error Bounds: Applications to Ridge and Lasso Regression, Boosting, Tree Learning, Kernel Machines, and Inverse Problems

IEEE Transactions on Information Theory ◽

10.1109/tit.2009.2027479 ◽

2009 ◽

Vol 55 (12) ◽

pp. 5700-5727 ◽

Author(s):

Lee K. Jones

Keyword(s):

Inverse Problems ◽

Error Bounds ◽

Estimation Error ◽

Kernel Machines ◽

Lasso Regression ◽

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Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines

2007 International Joint Conference on Neural Networks ◽

10.1109/ijcnn.2007.4371219 ◽

2007 ◽

Author(s):

Gavin C. Cawley ◽

Nicola L. C. Talbot

Keyword(s):

Prior Knowledge ◽

Kernel Machines ◽

Agnostic Learning

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Overlapping Domain Cover for Scalable and Accurate Regression Kernel Machines

Procedings of the British Machine Vision Conference 2015 ◽

10.5244/c.29.94 ◽

2015 ◽

Author(s):

Mohamed Elhoseiny ◽

Ahmed Elgammal

Keyword(s):

Kernel Machines

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Kernel machines and firefly algorithm based dynamic modulus prediction model for asphalt mixes considering aggregate morphology

Construction and Building Materials ◽

10.1016/j.conbuildmat.2017.10.133 ◽

2018 ◽

Vol 159 ◽

pp. 408-416 ◽

Author(s):

Dharamveer Singh ◽

Saurabh Maheshwari ◽

Musharraf Zaman ◽

Sesh Commuri

Keyword(s):

Prediction Model ◽

Dynamic Modulus ◽

Firefly Algorithm ◽

Kernel Machines ◽

Asphalt Mixes ◽

Aggregate Morphology

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Spritz: a server for the prediction of intrinsically disordered regions in protein sequences using kernel machines

Nucleic Acids Research ◽

10.1093/nar/gkl166 ◽

2006 ◽

Vol 34 (Web Server) ◽

pp. W164-W168 ◽

Author(s):

A. Vullo ◽

O. Bortolami ◽

G. Pollastri ◽

S. C. E. Tosatto

Keyword(s):

Protein Sequences ◽

Kernel Machines ◽

Intrinsically Disordered ◽

Intrinsically Disordered Regions ◽

Disordered Regions

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Voting Scheme–Based Evolutionary Kernel Machines for Drug Activity Comparisons

Knowledge Discovery in Bioinformatics ◽

10.1002/9780470124642.ch3 ◽

2007 ◽

pp. 45-56

Author(s):

Bo Jin ◽

Yan-Qing Zhang

Keyword(s):

Kernel Machines ◽

Drug Activity ◽

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