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» Approximate algorithms for neural-Bayesian approaches
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AAAI
2010
14 years 11 months ago
Coalition Structure Generation based on Distributed Constraint Optimization
Forming effective coalitions is a major research challenge in AI and multi-agent systems (MAS). Coalition Structure Generation (CSG) involves partitioning a set of agents into coa...
Suguru Ueda, Atsushi Iwasaki, Makoto Yokoo, Marius...
WCE
2007
14 years 11 months ago
A Distributed Energy Efficient Query Processing in Self-Organized Wireless Sensor Networks
—Spatial query execution is an essential functionality of a sensor network. Redundancy within a sensor network can be exploited to reduce the communication cost incurred in execu...
Meer A. Hamza, Sherin M. Youssef, Salma F. Fayed
ICA
2010
Springer
14 years 11 months ago
Binary Sparse Coding
We study a sparse coding learning algorithm that allows for a simultaneous learning of the data sparseness and the basis functions. The algorithm is derived based on a generative m...
Marc Henniges, Gervasio Puertas, Jörg Bornsch...
CORR
2004
Springer
208views Education» more  CORR 2004»
14 years 9 months ago
Business Intelligence from Web Usage Mining
The rapid e-commerce growth has made both business community and customers face a new situation. Due to intense competition on the one hand and the customer's option to choose...
Ajith Abraham
NECO
2007
129views more  NECO 2007»
14 years 9 months ago
Variational Bayes Solution of Linear Neural Networks and Its Generalization Performance
It is well-known that, in unidentifiable models, the Bayes estimation provides much better generalization performance than the maximum likelihood (ML) estimation. However, its ac...
Shinichi Nakajima, Sumio Watanabe