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Kernel method

Known as: Kernel Methods, KM, Kernel machines 
In machine learning, kernel methods are a class of algorithms for pattern analysis, whose best known member is the support vector machine (SVM). The… 
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Papers overview

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Highly Cited
2009
Highly Cited
2009
We introduce a new family of positive-definite kernel functions that mimic the computation in large, multilayer neural nets… 
Highly Cited
2006
Highly Cited
2006
We propose two statistical tests to determine if two samples are from different distributions. Our test statistic is in both… 
Highly Cited
2005
Highly Cited
2005
We study the problem of learning many related tasks simultaneously using kernel methods and regularization. The standard single… 
Highly Cited
2004
Highly Cited
2004
kernlab is an extensible package for kernel-based machine learning methods in R. It takes advantage of R's new S4 ob ject model… 
Review
2003
Review
2003
Kernel methods provide a powerful and unified framework for pattern discovery, motivating algorithms that can act on general… 
Highly Cited
2003
Highly Cited
2003
We present an application of kernel methods to extracting relations from unstructured natural language sources. We introduce… 
Review
2003
Review
2003
Modern machine learning techniques are proving to be extremely valuable for the analysis of data in computational biology… 
Highly Cited
2002
Highly Cited
2002
  • Ming-Hsuan Yang
  • Proceedings of Fifth IEEE International…
  • 2002
  • Corpus ID: 9889431
Principal Component A nalysis and Fisher Linear Discriminant methods have demonstrated their success in fac edete ction, r… 
Highly Cited
2001
Highly Cited
2001
This article presents a Support Vector Machine (SVM) like learning system to handle multi-label problems. Such problems are… 
Highly Cited
1999
Highly Cited
1999
Introduction to support vector learning roadmap. Part 1 Theory: three remarks on the support vector method of function estimation…