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GECCO
2006
Springer
153views Optimization» more  GECCO 2006»
15 years 1 months ago
On the local performance of simulated annealing and the (1+1) evolutionary algorithm
Simulated annealing and the (1+1) EA, a simple evolutionary algorithm, are both general randomized search heuristics that optimize any objective function with probability
Thomas Jansen, Ingo Wegener
EMNLP
2009
14 years 7 months ago
A Compact Forest for Scalable Inference over Entailment and Paraphrase Rules
A large body of recent research has been investigating the acquisition and application of applied inference knowledge. Such knowledge may be typically captured as entailment rules...
Roy Bar-Haim, Jonathan Berant, Ido Dagan
FUIN
1998
122views more  FUIN 1998»
14 years 9 months ago
Finite Markov Chain Results in Evolutionary Computation: A Tour d'Horizon
The theory of evolutionary computation has been enhanced rapidly during the last decade. This survey is the attempt to summarize the results regarding the limit and nite time behav...
Günter Rudolph
BMCBI
2008
169views more  BMCBI 2008»
14 years 9 months ago
A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification
Background: Cancer diagnosis and clinical outcome prediction are among the most important emerging applications of gene expression microarray technology with several molecular sig...
Alexander R. Statnikov, Lily Wang, Constantin F. A...
BMCBI
2010
178views more  BMCBI 2010»
14 years 9 months ago
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests
Background: Chow and Liu showed that the maximum likelihood tree for multivariate discrete distributions may be found using a maximum weight spanning tree algorithm, for example K...
David Edwards, Gabriel C. G. de Abreu, Rodrigo Lab...