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IJCAI
2001
15 years 8 months ago
Reinforcement Learning in Distributed Domains: Beyond Team Games
Using a distributed algorithm rather than a centralized one can be extremely beneficial in large search problems. In addition, the incorporation of machine learning techniques lik...
David Wolpert, Joseph Sill, Kagan Tumer
BMCBI
2010
108views more  BMCBI 2010»
15 years 7 months ago
Comparison of scores for bimodality of gene expression distributions and genome-wide evaluation of the prognostic relevance of h
Background: A major goal of the analysis of high-dimensional RNA expression data from tumor tissue is to identify prognostic signatures for discriminating patient subgroups. For t...
Birte Hellwig, Jan G. Hengstler, Marcus Schmidt, M...
220
Voted
CVPR
2009
IEEE
1010views Computer Vision» more  CVPR 2009»
17 years 2 months ago
A Family of Contextual Measures of Similarity between Distributions with Application to Image Retrieval
During this talk, I will introduce a novel family of contextual measures of similarity between distributions: the similarity between two distributions q and p is measured in the co...
Florent Perronnin (Xerox Research Centre Europe), ...
232
Voted
DEXAW
2006
IEEE
140views Database» more  DEXAW 2006»
16 years 1 months ago
String-Matching and Update through Algebraic Signatures in Scalable Distributed Data Structures
: Scalable Distributed Data Structures (SDDSs) store large scalable files over a distributed RAM of nodes in a grid or a P2P network. The files scale transparently for the applicat...
Riad Mokadem, Witold Litwin
GECCO
2008
Springer
145views Optimization» more  GECCO 2008»
15 years 8 months ago
Threshold selecting: best possible probability distribution for crossover selection in genetic algorithms
The paper considers the problem of selecting individuals in the current population in Genetic Algorithms for crossover to find a solution of high fitness of a given combinatoria...
Jörg Lässig, Karl Heinz Hoffmann, Mihael...