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» LEO - DB2's LEarning Optimizer
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GECCO
2000
Springer
141views Optimization» more  GECCO 2000»
14 years 1 months ago
A steady-state evolutionary algorithm for the job shop problem
This paper describes an evolutionary search scheduling algorithm (ESSA) for the job shop scheduling problem (JSSP). If no specific knowledge of the problem is included in the EA t...
Patrick van Bael, Dirk Devogelaere, Marcel Rijckae...
SAB
2010
Springer
135views Optimization» more  SAB 2010»
13 years 8 months ago
An Integrated Neuromimetic Model of the Saccadic Eye Movements for the Psikharpax Robot
Abstract. We propose an integrated model of the saccadic circuitry involved in target selection and motor command. It includes the Superior Colliculus and the Basal Ganglia in both...
Steve N'Guyen, Patrick Pirim, Jean-Arcady Meyer, B...
NIPS
2007
13 years 11 months ago
The Tradeoffs of Large Scale Learning
This contribution develops a theoretical framework that takes into account the effect of approximate optimization on learning algorithms. The analysis shows distinct tradeoffs for...
Léon Bottou, Olivier Bousquet
ICML
2009
IEEE
14 years 11 months ago
Learning structural SVMs with latent variables
We present a large-margin formulation and algorithm for structured output prediction that allows the use of latent variables. Our proposal covers a large range of application prob...
Chun-Nam John Yu, Thorsten Joachims
ABIALS
2008
Springer
14 years 4 months ago
A Two-Level Model of Anticipation-Based Motor Learning for Whole Body Motion
Abstract. We present a model of motor learning based on a combination of Operational Space Control and Optimal Control. Anticipatory processes are used both in the learning of the ...
Camille Salaün, Vincent Padois, Olivier Sigau...