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GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 10 months ago
Multi-chromosomal genetic programming
This paper introduces an evolutionary algorithm which uses multiple chromosomes to evolve solutions to a symbolic regression problem. Inspiration for this algorithm is provided by...
Rachel Cavill, Stephen L. Smith, Andrew M. Tyrrell
152
Voted
KBS
2002
106views more  KBS 2002»
15 years 4 months ago
Genetic rule induction at an intermediate level
Lists of if
Ton Weijters, Jan Paredis
139
Voted
ICML
2002
IEEE
16 years 5 months ago
Hierarchically Optimal Average Reward Reinforcement Learning
Two notions of optimality have been explored in previous work on hierarchical reinforcement learning (HRL): hierarchical optimality, or the optimal policy in the space defined by ...
Mohammad Ghavamzadeh, Sridhar Mahadevan
PR
2008
93views more  PR 2008»
15 years 4 months ago
Genetic algorithm-based feature set partitioning for classification problems
Feature set partitioning generalizes the task of feature selection by partitioning the feature set into subsets of features that are collectively useful, rather than by finding a ...
Lior Rokach
KES
2004
Springer
15 years 10 months ago
Multi-modal Data Fusion: A Description
Clustering groups records that are similar to each other into the same group, and those that are less similar into different groups. Clustering data of mixed types is difficult du...
Sarah Coppock, Lawrence J. Mazlack