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» A Statistical Clustering Model and Algorithm
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ICASSP
2011
IEEE
14 years 10 months ago
Discriminative simplification of mixture models
Simplification of mixture models has recently emerged as an important issue in the field of statistical learning. The heavy computational demands of using large order models dro...
Yossi Bar-Yosef, Yuval Bistritz
IPPS
2003
IEEE
15 years 12 months ago
Using Hybrid Alignment for Iterative Sequence Database Searches
Progressive sequence model refinement by means of iterative searches is an effective technique for high sensitivity database searches and is currently employed in popular tools s...
Yuheng Li, Mario Lauria, Ralf Bundschuh
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
15 years 7 months ago
ASAGA: an adaptive surrogate-assisted genetic algorithm
Genetic algorithms (GAs) used in complex optimization domains usually need to perform a large number of fitness function evaluations in order to get near-optimal solutions. In rea...
Liang Shi, Khaled Rasheed
ROMAN
2007
IEEE
127views Robotics» more  ROMAN 2007»
16 years 25 days ago
Incremental on-line hierarchical clustering of whole body motion patterns
Abstract— This paper describes a novel algorithm for autonomous and incremental learning of motion pattern primitives by observation of human motion. Human motion patterns are ed...
Dana Kulic, Wataru Takano, Yoshihiko Nakamura
GECCO
2006
Springer
180views Optimization» more  GECCO 2006»
15 years 10 months ago
Improving cooperative GP ensemble with clustering and pruning for pattern classification
A boosting algorithm based on cellular genetic programming to build an ensemble of predictors is proposed. The method evolves a population of trees for a fixed number of rounds an...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...