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» Three Approaches to Probability Model Selection
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CIKM
1997
Springer
13 years 11 months ago
Learning Belief Networks from Data: An Information Theory Based Approach
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Jie Cheng, David A. Bell, Weiru Liu
ICCV
2009
IEEE
15 years 15 days ago
An Algebraic Approach to Affine Registration of Point Sets
This paper proposes a new affine registration algorithm for matching two point sets in IR2 or IR3. The input point sets are represented as probability density functions, using e...
Jeffrey Ho, Adrian Peter, Anand Rangarajan, Ming-H...
CP
2007
Springer
14 years 1 months ago
Boosting Probabilistic Choice Operators
Probabilistic Choice Operators (PCOs) are convenient tools to model uncertainty in CP. They are useful to implement randomized algorithms and stochastic processes in the concurrent...
Matthieu Petit, Arnaud Gotlieb
CSE
2009
IEEE
14 years 2 months ago
A Stigmergy Approach for Open Source Software Developer Community Simulation
—The stigmergy collaboration approach provides a hypothesized explanation about how online groups work together. In this research, we presented a stigmergy approach for building ...
Xiaohui Cui, Justin Beaver, Jim N. Treadwell, Thom...
IBPRIA
2003
Springer
14 years 22 days ago
Comparison of Log-linear Models and Weighted Dissimilarity Measures
Abstract. We compare two successful discriminative classification algorithms on three databases from the UCI and STATLOG repositories. The two approaches are the log-linear model ...
Daniel Keysers, Roberto Paredes, Enrique Vidal, He...