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» Convergence Models of Genetic Algorithm Selection Schemes
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SAC
2011
ACM
13 years 2 months ago
A quasi-Newton acceleration for high-dimensional optimization algorithms
Abstract In many statistical problems, maximum likelihood estimation by an EM or MM algorithm suffers from excruciatingly slow convergence. This tendency limits the application of ...
Hua Zhou, David Alexander, Kenneth Lange
AAAI
2012
11 years 10 months ago
Generalized Sampling and Variance in Counterfactual Regret Minimization
In large extensive form games with imperfect information, Counterfactual Regret Minimization (CFR) is a popular, iterative algorithm for computing approximate Nash equilibria. Whi...
Richard G. Gibson, Marc Lanctot, Neil Burch, Duane...
TSP
2011
152views more  TSP 2011»
13 years 2 months ago
Blind Adaptive Constrained Constant-Modulus Reduced-Rank Interference Suppression Algorithms Based on Interpolation and Switched
—This work proposes a blind adaptive reduced-rank scheme and constrained constant-modulus (CCM) adaptive algorithms for interference suppression in wireless communications system...
Rodrigo C. de Lamare, Raimundo Sampaio Neto, Marti...
TASLP
2002
87views more  TASLP 2002»
13 years 7 months ago
A new audio coding scheme using a forward masking model and perceptually weighted vector quantization
This paper presents a new audio coder that includes two techniques to improve the sound quality of the audio coding system. First, a forward masking model is proposed. This model e...
Yuan-Hao Huang, Tzi-Dar Chiueh
BIOINFORMATICS
2006
106views more  BIOINFORMATICS 2006»
13 years 7 months ago
Identification of biochemical networks by S-tree based genetic programming
Motivation: Most previous approaches to model biochemical networks havefocusedeither on the characterization of a networkstructurewith a number of components or on the estimation ...
Dong-Yeon Cho, Kwang-Hyun Cho, Byoung-Tak Zhang