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Support vector machine

Known as: SVC, Svm (learning), Support Vector Machines 
In machine learning, support vector machines (SVMs, also support vector networks) are supervised learning models with associated learning algorithms… 
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Related topics

Related topics

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AdaBoostBayesian optimizationClassifier chainsComputational learning theory

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
Combining modality-specific extreme learning machines for emotion recognition in the wild
This paper proposes extreme learning machines (ELM) for modeling audio and video features for emotion recognition under… 
Review
2013
Review
2013
An Introduction to Statistical Learning: with Applications in R
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential… 
2009
2009
Internet Traffic Classification Using Support Vector Machine
(1) Institute of Software, Chinese Academy of Sciences, Beijing 100190, China; (2) Graduate University, Chinese Academy of… 
Highly Cited
2005
Highly Cited
2005
Computer Vision for Biomedical Image Applications, First International Workshop, CVBIA 2005, Beijing, China, October 21, 2005, Proceedings
2004
2004
Fuzzy Support Vector Machines and Fuzzy Simulation
This paper focuses on the construction of Support Vector Machines when the outputs of training points are fuzzy numbers. First we… 
2004
2004
Pre-extracting Support Vectors for Support Vector Machine
Training a support vector machine(SVM) can be viewed as a problem of solving a quadratic programming(QP) problem. But the… 
2002
2002
Evolving support vector machine parameters
The kernel type, kernel parameters and upper bound C control the generalization of support vector machines. The best choice of… 
2001
2001
Editing support vector machines
A support vector machine constructs an optimal hyperplane from a small set of samples near the boundary. This makes it sensitive… 
2000
2000
Adaptive Margin Support Vector Machines
In this chapter we present a new learning algorithm, Leave{One{Out (LOO{) SVMs and its generalization Adaptive Margin (AM{) SVMs… 
2000
2000
GACV for Support Vector Machines
This chapter contains sections titled: Introduction, The SVM Variational Problem, The Dual Problem, The Generalized Comparative… 
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