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» A Bayesian Computational Cognitive Model
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GECCO
2007
Springer
558views Optimization» more  GECCO 2007»
15 years 8 months ago
A chain-model genetic algorithm for Bayesian network structure learning
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
Ratiba Kabli, Frank Herrmann, John McCall
ACL
2010
15 years 5 hour ago
The Influence of Discourse on Syntax: A Psycholinguistic Model of Sentence Processing
Probabilistic models of sentence comprehension are increasingly relevant to questions concerning human language processing. However, such models are often limited to syntactic fac...
Amit Dubey
ICNC
2005
Springer
15 years 7 months ago
Modeling Human Learning as Context Dependent Knowledge Utility Optimization
Abstract. Humans have the ability to flexibly adjust their information processing strategy according to situational characteristics. However, such ability has been largely overloo...
Toshihiko Matsuka
111
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ICPR
2004
IEEE
16 years 3 months ago
Skin Detection: A Bayesian Network Approach
The automated detection and tracking of humans in computer vision necessitates improved modeling of the human skin appearance. In this paper we propose a Bayesian network approach...
Ira Cohen, Nicu Sebe, Theo Gevers, Thomas S. Huang
ICML
2005
IEEE
16 years 2 months ago
Tempering for Bayesian C&RT
This paper concerns the experimental assessment of tempering as a technique for improving Bayesian inference for C&RT models. Full Bayesian inference requires the computation ...
Nicos Angelopoulos, James Cussens