String kernel

In machine learning and data mining, a string kernel is a kernel function that operates on strings, i.e. finite sequences of symbols that need not be… (More)
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Papers overview

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2016
2016
Through sequence-based classification, this paper tries to accurately predict the DNA binding sites of transcription factors (TFs… (More)
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2010
2010
Even though Support Vector Machines (SVMs) are capable of identifying patterns in high dimensional spaces that are presented by… (More)
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2007
2007
String kernels directly model sequence similarities without the necessity of extracting numerical features in a vector space… (More)
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2007
2007
String kernels directly model sequence similarities without the necessity of extracting numerical features in a vector space… (More)
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Highly Cited
2006
Highly Cited
2006
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple… (More)
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2005
2005
Owing to the importance of signal peptides for studying the molecular mechanisms of genetic diseases, reprogramming cells for… (More)
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2005
2005
We develop the notion of normalized information distance (NID) [7] into a kernel distance suitable for use with a Support Vector… (More)
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2002
2002
Recently, the use of string kernels that compare documents as a string of letters has been shown to achieve good results on text… (More)
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Highly Cited
2001
Highly Cited
2001
We introduce a new sequence-similarity kernel, the spectrum kernel, for use with support vector machines (SVMs) in a… (More)
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Highly Cited
2000
Highly Cited
2000
We introduce a novel kernel for comparing two text documents. The kernel is an inner product in the feature space consisting of… (More)
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