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CORR
2008
Springer
129views Education» more  CORR 2008»
15 years 6 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
ACL
2012
13 years 8 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
ACSC
2002
IEEE
15 years 11 months ago
Representation and Reasoning for Goals in BDI Agents
A number of agent-oriented programming systems are based on a framework of beliefs, desires and intentions (BDI) and more explicitly on the BDI logic of Rao and Georgeff. In this ...
John Thangarajah, Lin Padgham, James Harland
ICDM
2005
IEEE
116views Data Mining» more  ICDM 2005»
16 years 21 hour 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
AAAI
2004
15 years 7 months ago
On Odd and Even Cycles in Normal Logic Programs
An odd cycle of a logic program is a simple cycle that has an odd number of negative edges in the dependency graph of the program. Similarly, an even cycle is one that has an even...
Fangzhen Lin, Xishun Zhao