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» Probabilistic Predicative Programming
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MM
2000
ACM
166views Multimedia» more  MM 2000»
15 years 7 months ago
Automatically extracting highlights for TV Baseball programs
In today’s fast-paced world, while the number of channels of television programming available is increasing rapidly, the time available to watch them remains the same or is decr...
Yong Rui, Anoop Gupta, Alex Acero
135
Voted
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
15 years 6 months ago
Learning recursive programs with cooperative coevolution of genetic code mapping and genotype
The Probabilistic Adaptive Mapping Developmental Genetic Programming (PAM DGP) algorithm that cooperatively coevolves a population of adaptive mappings and associated genotypes is...
Garnett Carl Wilson, Malcolm I. Heywood
138
Voted
CORR
2008
Springer
129views Education» more  CORR 2008»
15 years 2 months ago
Polynomial Linear Programming with Gaussian Belief Propagation
Abstract--Interior-point methods are state-of-the-art algorithms for solving linear programming (LP) problems with polynomial complexity. Specifically, the Karmarkar algorithm typi...
Danny Bickson, Yoav Tock, Ori Shental, Danny Dolev
141
Voted
ACL
2012
13 years 5 months ago
Learning to "Read Between the Lines" using Bayesian Logic Programs
Most information extraction (IE) systems identify facts that are explicitly stated in text. However, in natural language, some facts are implicit, and identifying them requires â€...
Sindhu Raghavan, Raymond J. Mooney, Hyeonseo Ku
104
Voted
ICDM
2005
IEEE
116views Data Mining» more  ICDM 2005»
15 years 8 months ago
Learning Functional Dependency Networks Based on Genetic Programming
Bayesian Network (BN) is a powerful network model, which represents a set of variables in the domain and provides the probabilistic relationships among them. But BN can handle dis...
Wing-Ho Shum, Kwong-Sak Leung, Man Leung Wong