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» A Generalization of the Least General Generalization
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KDD
2008
ACM
192views Data Mining» more  KDD 2008»
15 years 10 months ago
Partial least squares regression for graph mining
Attributed graphs are increasingly more common in many application domains such as chemistry, biology and text processing. A central issue in graph mining is how to collect inform...
Hiroto Saigo, Koji Tsuda, Nicole Krämer
ICANN
2007
Springer
15 years 4 months ago
Sparse Least Squares Support Vector Regressors Trained in the Reduced Empirical Feature Space
Abstract. In this paper we discuss sparse least squares support vector regressors (sparse LS SVRs) defined in the reduced empirical feature space, which is a subspace of mapped tr...
Shigeo Abe, Kenta Onishi
INFOCOM
2003
IEEE
15 years 3 months ago
Asymptotic Insensitivity of Least-Recently-Used Caching to Statistical Dependency
Abstract— We investigate a widely popular Least-RecentlyUsed (LRU) cache replacement algorithm with semi-Markov modulated requests. Semi-Markov processes provide the flexibility...
Predrag R. Jelenkovic, Ana Radovanovic
TIT
2002
146views more  TIT 2002»
14 years 9 months ago
Least squares estimation of 2-D sinusoids in colored noise: Asymptotic analysis
This paper considers the problem of estimating the parameters of real-valued two-dimensional (2-D) sinusoidal signals observed in colored noise. This problem is a special case of t...
Guy Cohen, Joseph M. Francos
GECCO
2008
Springer
129views Optimization» more  GECCO 2008»
14 years 11 months ago
Exploiting the path of least resistance in evolution
Hereditary Repulsion (HR) is a selection method coupled with a fitness constraint that substantially improves the performance and consistency of evolutionary algorithms. This als...
Gearoid Murphy, Conor Ryan