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» A Framework for Knowledge Reuse
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152
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CIVR
2006
Springer
219views Image Analysis» more  CIVR 2006»
15 years 7 months ago
Bayesian Learning of Hierarchical Multinomial Mixture Models of Concepts for Automatic Image Annotation
We propose a novel Bayesian learning framework of hierarchical mixture model by incorporating prior hierarchical knowledge into concept representations of multi-level concept struc...
Rui Shi, Tat-Seng Chua, Chin-Hui Lee, Sheng Gao
139
Voted
BIBE
2001
IEEE
188views Bioinformatics» more  BIBE 2001»
15 years 7 months ago
Interrelated Two-way Clustering: An Unsupervised Approach for Gene Expression Data Analysis
DNA arrays can be used to measure the expression levels of thousands of genes simultaneously. Currently most research focuses on the interpretation of the meaning of the data. How...
Chun Tang, Li Zhang, Aidong Zhang, Murali Ramanath...
141
Voted
ICTAI
2000
IEEE
15 years 7 months ago
Building efficient partial plans using Markov decision processes
Markov Decision Processes (MDP) have been widely used as a framework for planning under uncertainty. They allow to compute optimal sequences of actions in order to achieve a given...
Pierre Laroche
151
Voted
PKDD
2000
Springer
107views Data Mining» more  PKDD 2000»
15 years 7 months ago
Expert Constrained Clustering: A Symbolic Approach
Abstract. A new constrained model is discussed as a way of incorporating efficiently a priori expert knowledge into a clustering problem of a given individual set. The first innova...
Fabrice Rossi, Frédérick Vautrain
ATAL
1995
Springer
15 years 7 months ago
Foundations of a Logical Approach to Agent Programming
This paper describes a novel approach to high-level agent programming based on a highly developed logical theory of action. The user provides a specification of the agents’ bas...
Yves Lespérance, Hector J. Levesque, Fangzh...