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ACL
2008
13 years 11 months ago
Evolving New Lexical Association Measures Using Genetic Programming
Automatic extraction of collocations from large corpora has been the focus of many research efforts. Most approaches concentrate on improving and combining known lexical associati...
Jan Snajder, Bojana Dalbelo Basic, Sasa Petrovic, ...
ICGA
1997
102views Optimization» more  ICGA 1997»
13 years 11 months ago
An Experimental Analysis of Schema Creation, Propagation and Disruption in Genetic Programming
In this paper we first review the main results in the theory of schemata in Genetic Programming (GP) and summarise a new GP schema theory which is based on a new definition of s...
Riccardo Poli, William B. Langdon
CEC
2010
IEEE
13 years 11 months ago
Defining locality in genetic programming to predict performance
Abstract-- A key indicator of problem difficulty in evolutionary computation problems is the landscape's locality, that is whether the genotype-phenotype mapping preserves nei...
Edgar Galván López, James McDermott,...
GPEM
2006
161views more  GPEM 2006»
13 years 10 months ago
Solving differential equations with genetic programming
A novel method for solving ordinary and partial differential equations, based on grammatical evolution is presented. The method forms generations of trial solutions expressed in an...
Ioannis G. Tsoulos, Isaac E. Lagaris
CORR
2006
Springer
153views Education» more  CORR 2006»
13 years 10 months ago
Genetic Programming, Validation Sets, and Parsimony Pressure
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n...
Christian Gagné, Marc Schoenauer, Marc Pari...