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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

50 relations
AdaBoostBayesian optimizationClassifier chainsComputational learning theory

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
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… 
Highly Cited
2012
Highly Cited
2012
The role of Twitter during a natural disaster: Case study of 2011 Thai Flood
With the emergence of Web 2.0, social media became a key platform that allowed people to interact and share information. Unlike… 
Highly Cited
2010
Highly Cited
2010
Using SVMs with randomised feature spaces: an extreme learning approach
Extreme learning machines are fast models which almost compare to standard SVMs in terms of accuracy, but are much faster… 
Highly Cited
2009
Highly Cited
2009
Age estimation using Active Appearance Models and Support Vector Machine regression
In this paper, we introduce a novel age estimation technique that combines Active Appearance Models (AAMs) and Support Vector… 
Highly Cited
2007
Highly Cited
2007
1 Support Vector Machine Solvers
The support vector machine (SVM) algorithm (Cortes and Vapnik, 1995) is probably the most widely used kernel learning algorithm… 
Highly Cited
2007
Highly Cited
2007
Software quality estimation with limited fault data: a semi-supervised learning perspective
We addresses the important problem of software quality analysis when there is limited software fault or fault-proneness data. A… 
Highly Cited
2004
Highly Cited
2004
Online handwriting recognition using support vector machine
Discrete hidden Markov model (HMM) and hybrid of neural network (NN) and HMM are popular methods in handwritten word recognition… 
2003
2003
Support vector machines in multisource classification
The use of Support Vector Machines (SVMs) for classification of multisource data is investigated. SVMs have been shown to have… 
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… 
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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