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107
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FLAIRS
2000
15 years 2 months ago
Independence Semantics for BKBs
Bayesian KnowledgeBases (BKB)are a rule-based probabilistic modelthat extend BayesNetworks(BN), by allowing context-sensitive independenceand cycles in the directed graph. BKBshav...
Solomon Eyal Shimony, Eugene Santos Jr., Tzachi Ro...
JMLR
2000
134views more  JMLR 2000»
15 years 16 days ago
Learning with Mixtures of Trees
This paper describes the mixtures-of-trees model, a probabilistic model for discrete multidimensional domains. Mixtures-of-trees generalize the probabilistic trees of Chow and Liu...
Marina Meila, Michael I. Jordan
110
Voted
AIME
2009
Springer
15 years 7 months ago
Causal Probabilistic Modelling for Two-View Mammographic Analysis
Abstract. Mammographic analysis is a difficult task due to the complexity of image interpretation. This results in diagnostic uncertainty, thus provoking the need for assistance by...
Marina Velikova, Maurice Samulski, Peter J. F. Luc...
128
Voted
JUCS
2008
160views more  JUCS 2008»
15 years 21 days ago
Automatic Construction of Fuzzy Rule Bases: a further Investigation into two Alternative Inductive Approaches
: The definition of the Fuzzy Rule Base is one of the most important and difficult tasks when designing Fuzzy Systems. This paper discusses the results of two different hybrid meth...
Marcos Evandro Cintra, Heloisa de Arruda Camargo, ...
191
Voted
ICCV
2009
IEEE
6637views Computer Vision» more  ICCV 2009»
16 years 5 months ago
A Markov Clustering Topic Model for Mining Behaviour in Video
This paper addresses the problem of fully automated mining of public space video data. A novel Markov Clustering Topic Model (MCTM) is introduced which builds on existing Dynami...
Timothy Hospedales, Shaogang Gong, Tao Xiang