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GECCO
2006
Springer
167views Optimization» more  GECCO 2006»
15 years 10 months ago
Genomic computing networks learn complex POMDPs
A genomic computing network is a variant of a neural network for which a genome encodes all aspects, both structural and functional, of the network. The genome is evolved by a gen...
David J. Montana, Eric Van Wyk, Marshall Brinn, Jo...
FLAIRS
2008
15 years 8 months ago
On Using SVM and Kolmogorov Complexity for Spam Filtering
As a side effect of e-marketing strategy the number of spam e-mails is rocketing, the time and cost needed to deal with spam as well. Spam filtering is one of the most difficult t...
Sihem Belabbes, Gilles Richard
ISTA
2007
15 years 7 months ago
Knowledge-Oriented Approach to the Main Pipeline Complex Dispatching Control
: The article is devoted to the development of knowledge-oriented models that are able to increase the efficiency and quality of main pipeline complex (MPC) dispatching control. Th...
O. Ye. Fedorovich, A. V. Prokhorov, K. V. Golovan
ACL
2006
15 years 7 months ago
The Role of Information Retrieval in Answering Complex Questions
This paper explores the role of information retrieval in answering "relationship" questions, a new class complex information needs formally introduced in TREC 2005. Sinc...
Jimmy J. Lin
ESANN
2003
15 years 7 months ago
Neural networks organizations to learn complex robotic functions
Abstract. This paper considers the general problem of function estimation with a modular approach of neural computing. We propose to use functionally independent subnetworks to lea...
Gilles Hermann, Patrice Wira, Jean-Philippe Urban