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» On Learning Bounded-Width Branching Programs
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CP
2005
Springer
13 years 11 months ago
2-Way vs. d-Way Branching for CSP
Abstract. Most CSP algorithms are based on refinements and extensions of backtracking, and employ one of two simple “branching schemes”: 2-way branching or d-way branching, fo...
Joey Hwang, David G. Mitchell
JMLR
2010
149views more  JMLR 2010»
13 years 16 days ago
Learning Bayesian Network Structure using LP Relaxations
We propose to solve the combinatorial problem of finding the highest scoring Bayesian network structure from data. This structure learning problem can be viewed as an inference pr...
Tommi Jaakkola, David Sontag, Amir Globerson, Mari...
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
13 years 12 months ago
Coevolution of intelligent agents using cartesian genetic programming
A coevolutionary competitive learning environment for two antagonistic agents is presented. The agents are controlled by a new kind of computational network based on a compartment...
Gul Muhammad Khan, Julian Francis Miller, David M....
SAT
2009
Springer
119views Hardware» more  SAT 2009»
14 years 8 days ago
Backdoors in the Context of Learning
The concept of backdoor variables has been introduced as a structural property of combinatorial problems that provides insight into the surprising ability of modern satisfiability...
Bistra N. Dilkina, Carla P. Gomes, Ashish Sabharwa...
GECCO
2004
Springer
155views Optimization» more  GECCO 2004»
13 years 11 months ago
Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation
A new graph-based evolutionary algorithm named “Genetic Network Programming, GNP” has been proposed. GNP represents its solutions as directed graph structures, which can improv...
Shingo Mabu, Kotaro Hirasawa, Jinglu Hu