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» Optimization by Stochastic Continuation
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ICML
2009
IEEE
16 years 1 months ago
Fast evolutionary maximum margin clustering
The maximum margin clustering approach is a recently proposed extension of the concept of support vector machines to the clustering problem. Briefly stated, it aims at finding a...
Fabian Gieseke, Tapio Pahikkala, Oliver Kramer
ICMCS
2005
IEEE
87views Multimedia» more  ICMCS 2005»
16 years 7 days ago
A Probabilistic Description of Man-Machine Spoken Communication
Speech enabled interfaces and spoken dialog systems are mostly based on statistical speech and language processing modules. Their behavior is therefore not deterministic and hardl...
Olivier Pietquin
WABI
2005
Springer
16 years 3 days ago
Rotamer-Pair Energy Calculations Using a Trie Data Structure
Abstract. Protein design software places amino acid side chains by precomputing rotamer-pair energies and optimizing rotamer placement. If the software optimizes by rapid stochasti...
Andrew Leaver-Fay, Brian Kuhlman, Jack Snoeyink
GECCO
1999
Springer
158views Optimization» more  GECCO 1999»
15 years 11 months ago
Coevolutionary Genetic Algorithms for Solving Dynamic Constraint Satisfaction Problems
In this paper, we discuss the adaptability of Coevolutionary Genetic Algorithms on dynamic environments. Our CGA consists of two populations: solution-level one and schema-level o...
Hisashi Handa, Osamu Katai, Tadataka Konishi, Mits...
ECML
2007
Springer
15 years 10 months ago
Modeling Highway Traffic Volumes
Most traffic management and optimization tasks, such as accident detection or optimal vehicle routing, require an ability to adequately model, reason about and predict irregular an...
Tomás Singliar, Milos Hauskrecht