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» Modeling affordances using Bayesian networks
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ESWA
2008
169views more  ESWA 2008»
14 years 9 months ago
Predicting opponent's moves in electronic negotiations using neural networks
Electronic negotiation experiments provide a rich source of information about relationships between the negotiators, their individual actions, and the negotiation dynami...
Réal Carbonneau, Gregory E. Kersten, Rustam...
DSP
2007
14 years 10 months ago
Blind separation of nonlinear mixtures by variational Bayesian learning
Blind separation of sources from nonlinear mixtures is a challenging and often ill-posed problem. We present three methods for solving this problem: an improved nonlinear factor a...
Antti Honkela, Harri Valpola, Alexander Ilin, Juha...
ACNS
2003
Springer
168views Cryptology» more  ACNS 2003»
15 years 3 months ago
PLI: A New Framework to Protect Digital Content for P2P Networks
In this paper, we first propose a novel Public License Infrastructure (PLI) that uses cryptographic threshold secret sharing schemes to provide decentralized public license service...
Guofei Gu, Bin B. Zhu, Shipeng Li, Shiyong Zhang
ARTMED
2004
118views more  ARTMED 2004»
14 years 9 months ago
Bayesian fluorescence in situ hybridisation signal classification
Previous research has indicated the significance of accurate classification of fluorescence in situ hybridisation (FISH) signals for the detection of genetic abnormalities. Based ...
Boaz Lerner
IJAR
2002
102views more  IJAR 2002»
14 years 9 months ago
Networks of probabilistic events in discrete time
The usual methods of applying Bayesian networks to the modeling of temporal processes, such as Dean and Kanazawa's dynamic Bayesian networks (DBNs), consist in discretizing t...
Severino F. Galán, Francisco Javier D&iacut...