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FLAIRS
2008
15 years 9 months ago
Evolutionary Learning of Dynamic Naive Bayesian Classifiers
Naive Bayesian classifiers work well in data sets with independent attributes. However, they perform poorly when the attributes are dependent or when there are one or more irrelev...
Miguel A. Palacios-Alonso, Carlos A. Brizuela, Lui...
ABIALS
2008
Springer
15 years 8 months ago
Anticipatory Learning Classifier Systems and Factored Reinforcement Learning
Factored Reinforcement Learning (frl) is a new technique to solve Factored Markov Decision Problems (fmdps) when the structure of the problem is not known in advance. Like Anticipa...
Olivier Sigaud, Martin V. Butz, Olga Kozlova, Chri...
ASPDAC
2008
ACM
109views Hardware» more  ASPDAC 2008»
15 years 8 months ago
TCG-based multi-bend bus driven floorplanning
Abstract--In this paper, the problem of bus driven floorplanning is addressed. Given a set of modules and bus specifications, a floorplan solution including the bus routes will be ...
Tilen Ma, Evangeline F. Y. Young
AHS
2006
IEEE
175views Hardware» more  AHS 2006»
15 years 8 months ago
Face Recognition Using a Gabor Filter Bank Approach
Face recognition is a challenging field of research not only because of the complexity of this subject, but also because of its numerous practical applications. Much progress has ...
Walid Riad Boukabou, Lahouari Ghouti, Ahmed Bourid...
PODC
2010
ACM
15 years 8 months ago
Distributed data classification in sensor networks
Low overhead analysis of large distributed data sets is necessary for current data centers and for future sensor networks. In such systems, each node holds some data value, e.g., ...
Ittay Eyal, Idit Keidar, Raphael Rom