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Related papers: Comment on "Support Vector Machines with Applicati…

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Comment on "Support Vector Machines with Applications" [math.ST/0612817]

Statistics Theory · Mathematics 2007-06-13 Peter L. Bartlett , Michael I. Jordan , Jon D. McAuliffe

Comment on ``Support Vector Machines with Applications'' [math.ST/0612817]

Statistics Theory · Mathematics 2016-08-16 Olivier Bousquet , Bernhard Schölkopf

Comment on [math.ST/0612817]

Statistics Theory · Mathematics 2007-06-13 Trevor Hastie , Ji Zhu

Rejoinder to ``Support Vector Machines with Applications'' [math.ST/0612817]

Statistics Theory · Mathematics 2016-08-16 Javier M. Moguerza , Alberto Muñoz

We describe in a rudimentary fashion how SVM(support vector machine) plays the role of classifier in a mathematical setting. We then discuss its application in the study of multiple SNP(single nucleotide polymorphism) variations. Also…

Optimization and Control · Mathematics 2025-10-20 Seung-chan Ahn , Gene Kim , MyungHo Kim

The purpose of this report is in examining the generalization performance of Support Vector Machines (SVM) as a tool for pattern recognition and object classification. The work is motivated by the growing popularity of the method that is…

Machine Learning · Computer Science 2014-12-16 Eugene Borovikov

Comment on ``Boosting Algorithms: Regularization, Prediction and Model Fitting'' [arXiv:0804.2752]

Methodology · Statistics 2008-12-18 Trevor Hastie

Comment: Monitoring Networked Applications With Incremental Quantile Estimation [arXiv:0708.0302]

Methodology · Statistics 2009-09-29 Bin Yu

Comment: Monitoring Networked Applications With Incremental Quantile Estimation [arXiv:0708.0302]

Methodology · Statistics 2009-09-29 Lorraine Denby , James M. Landwehr , Jean Meloche

Comment: Struggles with Survey Weighting and Regression Modeling [arXiv:0710.5005]

Methodology · Statistics 2009-09-29 Danny Pfeffermann

Comment: Struggles with Survey Weighting and Regression Modeling [arXiv:0710.5005]

Methodology · Statistics 2007-11-06 Sharon L. Lohr

Comment: Struggles with Survey Weighting and Regression Modeling [arXiv:0710.5005]

Methodology · Statistics 2009-09-29 Roderick J. Little

Comment: Struggles with Survey Weighting and Regression Modeling [arXiv:0710.5005]

Methodology · Statistics 2007-11-06 F. Jay Breidt , Jean D. Opsomer

Comment: Struggles with Survey Weighting and Regression Modeling [arXiv:0710.5005]

Methodology · Statistics 2009-09-29 Robert M. Bell , Michael L. Cohen

This is a response to the commentaries on "CoRR: A Computing Research Repository".

Digital Libraries · Computer Science 2007-05-23 Joseph Y. Halpern

Comment on 'Path Summation Formulation of the Master Equation'

Soft Condensed Matter · Physics 2009-11-13 Ophir Flomenbom , Joseph Klafter , Robert J. Silbey

Support vector machines (SVMs) appeared in the early nineties as optimal margin classifiers in the context of Vapnik's statistical learning theory. Since then SVMs have been successfully applied to real-world data analysis problems, often…

Statistics Theory · Mathematics 2016-08-16 Javier M. Moguerza , Alberto Muñoz

Comment on "The Need for Syncretism in Applied Statistics" [arXiv:1012.1161]

Methodology · Statistics 2010-12-08 Sander Greenland

In \cite{simon2023algorithms} we introduced four algorithms for the training of neural support vector machines (NSVMs) and demonstrated their feasibility. In this note we introduce neural quantum support vector machines, that is, NSVMs with…

Quantum Physics · Physics 2023-11-27 Lars Simon , Manuel Radons

Comment on "Citation Statistics" [arXiv:0910.3529]

Methodology · Statistics 2009-10-20 Peter Gavin Hall
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