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… (More)
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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… (More)
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Highly Cited
2006
Highly Cited
2006
We propose a framework for analyzing and comparing distributions, allowing us to design statistical tests to determine if two… (More)
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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… (More)
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Highly Cited
2005
Highly Cited
2005
MOTIVATION Despite advances in high-throughput methods for discovering protein-protein interactions, the interaction networks of… (More)
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Highly Cited
2004
Highly Cited
2004
Motivations Biology is facing many machine learning challenges. Massive amounts of data are generated, characterized by: 
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Highly Cited
2003
Highly Cited
2003
This inspiring book becomes one that is very booming. After published, this book can steal the market and book lovers to always… (More)
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Highly Cited
2002
Highly Cited
2002
Principal Component A nalysis and Fisher Linear Discriminant methods have demonstrated their success in fac edete ction, r… (More)
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Highly Cited
2002
Highly Cited
2002
We present an application of kernel methods to extracting re lations from unstructured natural language sources. We introduce… (More)
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Highly Cited
2000
Highly Cited
2000
Bargaining with reading habit is no need. Reading is not kind of something sold that you can take or not. It is a thing that will… (More)
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Highly Cited
1999
Highly Cited
1999
A new method, called the Fisher kernel method, for detecting remote protein homologies is introduced and shown to perform well in… (More)
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