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ML
2006
ACM
121views Machine Learning» more  ML 2006»
15 years 6 months ago
Model-based transductive learning of the kernel matrix
This paper addresses the problem of transductive learning of the kernel matrix from a probabilistic perspective. We define the kernel matrix as a Wishart process prior and construc...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
TEC
2008
104views more  TEC 2008»
15 years 6 months ago
Coevolution of Fitness Predictors
Abstract--We present an algorithm that coevolves fitness predictors, optimized for the solution population, which reduce fitness evaluation cost and frequency, while maintaining ev...
Michael D. Schmidt, Hod Lipson
JCSS
2007
89views more  JCSS 2007»
15 years 6 months ago
The relative worst-order ratio applied to paging
The relative worst order ratio, a new measure for the quality of on-line algorithms, was recently defined and applied to two bin packing problems. Here, we extend the definition ...
Joan Boyar, Lene M. Favrholdt, Kim S. Larsen
TPDS
2008
88views more  TPDS 2008»
15 years 6 months ago
A Two-Hop Solution to Solving Topology Mismatch
The efficiency of Peer-to-Peer (P2P) systems is largely dependent on the overlay constructions. Due to the random selection of logical neighbors, there often exists serious topolog...
Yunhao Liu
COMBINATORICS
2004
90views more  COMBINATORICS 2004»
15 years 6 months ago
Strings with Maximally Many Distinct Subsequences and Substrings
A natural problem in extremal combinatorics is to maximize the number of distinct subsequences for any length-n string over a finite alphabet ; this value grows exponentially, but...
Abraham Flaxman, Aram Wettroth Harrow, Gregory B. ...