317 search results - page 17 / 64 » Opposition-Based Learning: A New Scheme for Machine Intellig... |
ICRA
2008
IEEE
15 years 3 months ago
2008
IEEE
— Integrating information coming from different sensors is a fundamental capability for autonomous robots. For complex tasks like topological localization, it would be desirable ...
CEC
2005
IEEE
15 years 3 months ago
2005
IEEE
Abstract- Seeding the population of an evolutionary algorithm with solutions from previous runs has proved to be useful when learning control strategies for agents operating in a c...
COLT
2000
Springer
15 years 1 months ago
2000
Springer
Boosting algorithms like AdaBoost and Arc-GV are iterative strategies to minimize a constrained objective function, equivalent to Barrier algorithms. Based on this new understandi...
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IWCLS
2007
Springer
15 years 3 months ago
2007
Springer
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
ICIP
2006
IEEE
15 years 11 months ago
2006
IEEE
In this paper we present a new scheme for detection and tracking of specific objects in a knowledge-based framework. The scheme uses a supervised learning method: Support Vector M...