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» Synthesis for Probabilistic Environments
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IJCAI
1997
15 years 5 months ago
Combining Probabilistic Population Codes
We study the problemof statisticallycorrect inference in networks whose basic representations are population codes. Population codes are ubiquitous in the brain, and involve the s...
Richard S. Zemel, Peter Dayan
GECCO
2005
Springer
150views Optimization» more  GECCO 2005»
15 years 10 months ago
Population-based incremental learning with memory scheme for changing environments
In recent years there has been a growing interest in studying evolutionary algorithms for dynamic optimization problems due to its importance in real world applications. Several a...
Shengxiang Yang
GECCO
2005
Springer
163views Optimization» more  GECCO 2005»
15 years 10 months ago
Memory-based immigrants for genetic algorithms in dynamic environments
Investigating and enhancing the performance of genetic algorithms in dynamic environments have attracted a growing interest from the community of genetic algorithms in recent year...
Shengxiang Yang
133
Voted
ICRA
2003
IEEE
117views Robotics» more  ICRA 2003»
15 years 9 months ago
Map building with mobile robots in dynamic environments
The problem of generating maps with mobile robots has received considerable attention over the past years. Most of the techniques developed so far have been designed for situation...
Dirk Hähnel, Rudolph Triebel, Wolfram Burgard...
149
Voted
TASLP
2010
121views more  TASLP 2010»
14 years 11 months ago
Sequential Organization of Speech in Reverberant Environments by Integrating Monaural Grouping and Binaural Localization
Existing binaural approaches to speech segregation place an exclusive burden on cues related to the location of sound sources in space. These approaches can achieve excellent perfo...
John Woodruff, DeLiang Wang