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» The Kernel Least-Mean-Square Algorithm
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CJ
2008
82views more  CJ 2008»
14 years 10 months ago
An Overview of Techniques for Designing Parameterized Algorithms
A survey of the most important and general techniques in parameterized algorithm design is given. Each technique is explained with a meta-algorithm, its use is illustrated by exam...
Christian Sloper, Jan Arne Telle
FSTTCS
2010
Springer
14 years 7 months ago
The effect of girth on the kernelization complexity of Connected Dominating Set
In the Connected Dominating Set problem we are given as input a graph G and a positive integer k, and are asked if there is a set S of at most k vertices of G such that S is a dom...
Neeldhara Misra, Geevarghese Philip, Venkatesh Ram...
ICML
2004
IEEE
15 years 10 months ago
Decentralized detection and classification using kernel methods
We consider the problem of decentralized detection under constraints on the number of bits that can be transmitted by each sensor. In contrast to most previous work, in which the ...
XuanLong Nguyen, Martin J. Wainwright, Michael I. ...
MLDM
2007
Springer
15 years 4 months ago
Outlier Detection with Kernel Density Functions
Abstract. Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel unsupervised algorithm for outlier detec...
Longin Jan Latecki, Aleksandar Lazarevic, Dragolju...
WADS
2007
Springer
91views Algorithms» more  WADS 2007»
15 years 4 months ago
Kernelization and Complexity Results for Connectivity Augmentation Problems
Connectivity augmentation problems ask for adding a set of at most k edges whose insertion makes a given graph satisfy a specified connectivity property, such as bridge-connectivi...
Jiong Guo, Johannes Uhlmann