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» A Bayesian Computational Cognitive Model
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CSDA
2006
142views more  CSDA 2006»
15 years 4 months ago
Automatic approximation of the marginal likelihood in non-Gaussian hierarchical models
Fitting of non-Gaussian hierarchical random effects models by approximate maximum likelihood can be made automatic to the same extent that Bayesian model fitting can be automated ...
Hans J. Skaug, David A. Fournier
COGSCI
2002
108views more  COGSCI 2002»
15 years 4 months ago
Statistical models for the induction and use of selectional preferences
Selectional preferences have a long history in both generative and computational linguistics. However, since the publication of Resnik's dissertation in 1993, a new approach ...
Marc Light, Warren R. Greiff
JCB
2008
159views more  JCB 2008»
15 years 4 months ago
BayesMD: Flexible Biological Modeling for Motif Discovery
We present BayesMD, a Bayesian Motif Discovery model with several new features. Three different types of biological a priori knowledge are built into the framework in a modular fa...
Man-Hung Eric Tang, Anders Krogh, Ole Winther
CSE
2009
IEEE
15 years 8 months ago
Satisficing the Masses: Applying Game Theory to Large-Scale, Democratic Decision Problems
ACT We present ongoing research on large-scale decision models in which there are many invested individuals. We apply our unique Bayesian belief aggregation approach to decision pr...
Kshanti A. Greene, Joe Michael Kniss, George F. Lu...
CHI
2006
ACM
16 years 4 months ago
Generating automated predictions of behavior strategically adapted to specific performance objectives
It has been well established in Cognitive Psychology that humans are able to strategically adapt performance, even highly skilled performance, to meet explicit task goals such as ...
Katherine Eng, Richard L. Lewis, Irene Tollinger, ...