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» A Linear-Time Graph Kernel
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JMLR
2010
132views more  JMLR 2010»
14 years 4 months ago
On the Impact of Kernel Approximation on Learning Accuracy
Kernel approximation is commonly used to scale kernel-based algorithms to applications containing as many as several million instances. This paper analyzes the effect of such appr...
Corinna Cortes, Mehryar Mohri, Ameet Talwalkar
BMCBI
2008
145views more  BMCBI 2008»
14 years 9 months ago
Directed acyclic graph kernels for structural RNA analysis
Background: Recent discoveries of a large variety of important roles for non-coding RNAs (ncRNAs) have been reported by numerous researchers. In order to analyze ncRNAs by kernel ...
Kengo Sato, Toutai Mituyama, Kiyoshi Asai, Yasubum...
CORR
2010
Springer
144views Education» more  CORR 2010»
14 years 9 months ago
Hitting forbidden minors: Approximation and Kernelization
We study a general class of problems called F -Deletion problems. In an F -Deletion problem, we are asked whether a subset of at most k vertices can be deleted from a graph G such...
Fedor V. Fomin, Daniel Lokshtanov, Neeldhara Misra...
ICML
2004
IEEE
15 years 10 months ago
Extensions of marginalized graph kernels
Jean-Luc Perret, Jean-Philippe Vert, Nobuhisa Ueda...
CORR
2006
Springer
144views Education» more  CORR 2006»
14 years 9 months ago
The minimum linear arrangement problem on proper interval graphs
We present a linear time algorithm for the minimum linear arrangement problem on proper interval graphs. The obtained ordering is a 4-approximation for general interval graphs. 1 ...
Ilya Safro