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» Approximate algorithms for neural-Bayesian approaches
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AAAI
2010
15 years 6 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
15 years 5 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
15 years 5 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»
15 years 4 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»
15 years 4 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