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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
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… 
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… 
Review
2005
Review
2005
Modern machine learning techniques are proving to be extremely valuable for the analysis of data in computational biology… 
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
2002
Highly Cited
2002
We present an application of kernel methods to extracting relations from unstructured natural language sources. We introduce… 
Highly Cited
2002
Highly Cited
2002
  • Ming-Hsuan Yang
  • 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
2000
Highly Cited
2000
A major problem for kernel-based predictors (such as Support Vector Machines and Gaussian processes) is that the amount of… 
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…