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IDA
2006
Springer
13 years 5 months ago
Backward chaining rule induction
Exploring the vast number of possible feature interactions in domains such as gene expression microarray data is an onerous task. We describe Backward-Chaining Rule Induction (BCR...
Douglas H. Fisher, Mary E. Edgerton, Zhihua Chen, ...
AI
2006
Springer
13 years 5 months ago
Backward-chaining evolutionary algorithms
Starting from some simple observations on a popular selection method in Evolutionary Algorithms (EAs)--tournament selection--we highlight a previously-unknown source of inefficien...
Riccardo Poli, William B. Langdon
ECP
1999
Springer
138views Robotics» more  ECP 1999»
13 years 9 months ago
Numeric State Variables in Constraint-Based Planning
We extend a planning algorithm to cover simple forms of arithmetics. The operator preconditions can refer to the values of numeric variables and the operator postconditions can mod...
Jussi Rintanen, Hartmut Jungholt
AICCSA
2006
IEEE
133views Hardware» more  AICCSA 2006»
13 years 11 months ago
Learning acyclic rules based on Chaining Genetic Programming
Multi-class problem is the class of problems having more than one classes in the data set. Bayesian Network (BN) is a well-known algorithm handling the multi-class problem and is ...
Wing-Ho Shum, Kwong-Sak Leung, Man Leung Wong
GECCO
2005
Springer
151views Optimization» more  GECCO 2005»
13 years 10 months ago
Backward-chaining genetic programming
Tournament selection is the most frequently used form of selection in genetic programming (GP). Tournament selection chooses individuals uniformly at random from the population. A...
Riccardo Poli, William B. Langdon