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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.
Highly Cited
2011
Highly Cited
2011
Forecasting Power Output of Photovoltaic Systems Based on Weather Classification and Support Vector Machines
Due to the growing demand on renewable energy, photovoltaic (PV) generation systems have increased considerably in recent years… 
Highly Cited
2001
Highly Cited
2001
SSVM: A Smooth Support Vector Machine for Classification
Smoothing methods, extensively used for solving important mathematical programming problems and applications, are applied here to… 
Highly Cited
2001
Highly Cited
2001
RSVM: Reduced Support Vector Machines
Abstract An algorithm is proposed which generates a nonlinear kernel-based separating surface that requires as little as 1% of a… 
Highly Cited
2001
Highly Cited
2001
Sparse Bayesian Learning and the Relevance Vector Machine
This paper introduces a general Bayesian framework for obtaining sparse solutions to regression and classification tasks… 
Highly Cited
2000
Highly Cited
2000
Less is More: Active Learning with Support Vector Machines
We describe a simple active learning heuristic which greatly enhances the generalization behavior of support vector machines… 
Highly Cited
2000
Highly Cited
2000
Face recognition by support vector machines
  • G. GuoS. LiK. Chan
  • Proceedings Fourth IEEE International Conference…
  • 2000
  • Corpus ID: 14555654
Support vector machines (SVM) have been recently proposed as a new technique for pattern recognition. SVM with a binary tree… 
Highly Cited
1999
Highly Cited
1999
Support Vector Machines for Pattern Classification
A guide on the use of SVMs in pattern classification, including a rigorous performance comparison of classifiers and regressors… 
Highly Cited
1999
Highly Cited
1999
Support vector machines for multi-class pattern recognition
. The solution of binary classi(cid:12)cation problems using support vector machines (SVMs) is well developed, but multi-class… 
Highly Cited
1997
Highly Cited
1997
Predicting Time Series with Support Vector Machines
Support Vector Machines are used for time series prediction and compared to radial basis function networks. We make use of two… 
Highly Cited
1997
Highly Cited
1997
Comparing Support Vector Machines with Gaussian Kernels to Radial Basis Function Classi
The Support Vector (SV) machine is a novel type of learning machine, based on statistical learning theory, which contains… 
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