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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… Expand
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Papers overview

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Highly Cited
2007
Highly Cited
2007
To accelerate the training of kernel machines, we propose to map the input data to a randomized low-dimensional feature space and… Expand
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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… Expand
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Highly Cited
2005
Highly Cited
2005
We study the problem of learning many related tasks simultaneously using kernel methods and regularization. The standard single… Expand
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Highly Cited
2004
Highly Cited
2004
The lectures will introduce the kernel methods approach to pattern analysis [1] through the particular example of support vector… Expand
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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… Expand
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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… Expand
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Highly Cited
2002
Highly Cited
2002
We present an application of kernel methods to extracting relations from unstructured natural language sources. We introduce… Expand
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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… Expand
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Highly Cited
2000
Highly Cited
2000
A major problem for kernel-based predictors (such as Support Vector Machines and Gaussian processes) is that the amount of… Expand
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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… Expand
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