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» TRUST-TECH based Methods for Optimization and Learning
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102
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GECCO
2004
Springer
179views Optimization» more  GECCO 2004»
15 years 6 months ago
Feature Synthesis Using Genetic Programming for Face Expression Recognition
In this paper a novel genetically-inspired learning method is proposed for face expression recognition (FER) in visible images. Unlike current research for FER that generally uses ...
Bir Bhanu, Jiangang Yu, Xuejun Tan, Yingqiang Lin
84
Voted
IJON
2006
95views more  IJON 2006»
15 years 20 days ago
Ensemble classifiers based on correlation analysis for DNA microarray classification
Since accurate classification of DNA microarray is a very important issue for the treatment of cancer, it is more desirable to make a decision by combining the results of various ...
Kyung-Joong Kim, Sung-Bae Cho
94
Voted
ICML
2005
IEEE
16 years 1 months ago
Dynamic preferences in multi-criteria reinforcement learning
The current framework of reinforcement learning is based on maximizing the expected returns based on scalar rewards. But in many real world situations, tradeoffs must be made amon...
Sriraam Natarajan, Prasad Tadepalli
DAGM
2008
Springer
15 years 2 months ago
Approximate Parameter Learning in Conditional Random Fields: An Empirical Investigation
We investigate maximum likelihood parameter learning in Conditional Random Fields (CRF) and present an empirical study of pseudo-likelihood (PL) based approximations of the paramet...
Filip Korc, Wolfgang Förstner
GECCO
2010
Springer
169views Optimization» more  GECCO 2010»
15 years 2 months ago
Stochastic local search in continuous domains: questions to be answered when designing a novel algorithm
Several population-based methods (with origins in the world of evolutionary strategies and estimation-of-distribution algorithms) for black-box optimization in continuous domains ...
Petr Posik