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» Optimization via Parameter Mapping with Genetic Programming
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CCGRID
2004
IEEE
14 years 10 days ago
Evolutionary molecular structure determination using Grid-enabled data mining
A new computational framework is developed for the evolutionary determination of molecular crystal structures using the Shake-and-Bake methodology. Genetic algorithms are performe...
Mark L. Green, Russ Miller
PDPTA
2000
13 years 10 months ago
Evaluation of Neural and Genetic Algorithms for Synthesizing Parallel Storage Schemes
Exploiting compile time knowledge to improve memory bandwidth can produce noticeable improvements at run-time [13, 1]. Allocating the data structure [13] to separate memories when...
Mayez A. Al-Mouhamed, Husam Abu-Haimed
ICML
2004
IEEE
14 years 9 months ago
Training conditional random fields via gradient tree boosting
Conditional Random Fields (CRFs; Lafferty, McCallum, & Pereira, 2001) provide a flexible and powerful model for learning to assign labels to elements of sequences in such appl...
Thomas G. Dietterich, Adam Ashenfelter, Yaroslav B...
CVPR
2004
IEEE
14 years 10 days ago
Face Localization via Hierarchical CONDENSATION with Fisher Boosting Feature Selection
We formulate face localization as a Maximum A Posteriori Probability(MAP) problem of finding the best estimation of human face configuration in a given image. The a prior distribu...
Jilin Tu, ZhenQiu Zhang, Zhihong Zeng, Thomas S. H...
TSP
2008
124views more  TSP 2008»
13 years 8 months ago
Robust Beamforming via Worst-Case SINR Maximization
Minimum variance beamforming, which uses a weight vector that maximizes the signal-to-interference-plus-noise ratio (SINR), is often sensitive to estimation error and uncertainty i...
Seung-Jean Kim, Alessandro Magnani, Almir Mutapcic...