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» Hybrid Optimizations: Which Optimization Algorithm to Use
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GECCO
2009
Springer
194views Optimization» more  GECCO 2009»
15 years 10 months ago
Combining evolution strategy and gradient descent method for discriminative learning of bayesian classifiers
The optimization method is one of key issues in discriminative learning of pattern classifiers. This paper proposes a hybrid approach of the Covariance Matrix Adaptation Evolution...
Xuefeng Chen, Xiabi Liu, Yunde Jia
AAAI
2007
15 years 5 months ago
Hybrid Inference for Sensor Network Localization Using a Mobile Robot
In this paper, we consider a hybrid solution to the sensor network position inference problem, which combines a real-time filtering system with information from a more expensive,...
Dimitri Marinakis, David Meger, Ioannis M. Rekleit...
GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
15 years 7 months ago
Combining genetic algorithms with squeaky-wheel optimization
The AI optimization algorithm called "Squeaky-Wheel Optimization" (SWO) has proven very effective in a variety of real-world applications. Although the ideas behind SWO ...
Justin Terada, Hoa Vo, David Joslin
TCAD
1998
114views more  TCAD 1998»
15 years 2 months ago
Behavioral optimization using the manipulation of timing constraints
— We introduce a transformation, named rephasing, that manipulates the timing parameters in control-data-flow graphs (CDFG’s) during the high-level synthesis of data-pathinten...
Miodrag Potkonjak, Mani B. Srivastava
138
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RECOMB
2003
Springer
16 years 3 months ago
Joint classifier and feature optimization for cancer diagnosis using gene expression data
Recent research has demonstrated quite convincingly that accurate cancer diagnosis can be achieved by constructing classifiers that are designed to compare the gene expression pro...
Balaji Krishnapuram, Lawrence Carin, Alexander J. ...