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» Probabilistic Explanation Based Learning
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CVPR
2008
IEEE
14 years 10 months ago
Learning stick-figure models using nonparametric Bayesian priors over trees
We present a fully probabilistic stick-figure model that uses a nonparametric Bayesian distribution over trees for its structure prior. Sticks are represented by nodes in a tree i...
Edward Meeds, David A. Ross, Richard S. Zemel, Sam...
IJVR
2008
155views more  IJVR 2008»
13 years 8 months ago
Affective Model for Intelligent Virtual Agent Based on PFCM
This paper describes the architecture for a virtual agent and the implementation of its Affection Module. A novel affective model is proposed based on Probabilistic Fuzzy Cognitive...
Lin Shi, Zhiliang Wang, Zhigang Li
EXACT
2007
13 years 11 months ago
An MDP Approach for Explanation Generation
In order to assist a power plant operator to face unusual situations, we have developed an intelligent assistant that explains the suggested commands generated by an MDP-based pla...
Francisco Elizalde, Luis Enrique Sucar, Alberto Re...
COGSCI
2010
125views more  COGSCI 2010»
13 years 8 months ago
A Probabilistic Computational Model of Cross-Situational Word Learning
Words are the essence of communication: they are the building blocks of any language. Learning the meaning of words is thus one of the most important aspects of language acquisiti...
Afsaneh Fazly, Afra Alishahi, Suzanne Stevenson
ML
2008
ACM
150views Machine Learning» more  ML 2008»
13 years 8 months ago
Learning probabilistic logic models from probabilistic examples
Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
Jianzhong Chen, Stephen Muggleton, José Car...