42 search results - page 4 / 9 » Genetic Approaches to Learning Recursive Relations |
80
Voted
EC
2006
14 years 9 months ago
2006
The performance of a learning classifier system is due to its two main components. First, it evolves new structures by generating new rules in a genetic process; second, it adjust...
GECCO
2005
Springer
15 years 2 months ago
2005
Springer
Genetic Algorithms (GAs) can efficiently produce high quality results for hard combinatorial real world problems such as the Vehicle Routing Problem (VRP). Genetic Vehicle Represe...
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
Standard Reinforcement Learning (RL) aims to optimize decision-making rules in terms of the expected return. However, especially for risk-management purposes, other criteria such ...
IJCAI
2001
14 years 10 months ago
2001
Neural network ensemble is a learning paradigm where several neural networks are jointly used to solve a problem. In this paper, the relationship between the generalization abilit...
RECOMB
2004
Springer
15 years 9 months ago
2004
Springer
We present a novel classification-based algorithm called GeneClass for learning to predict gene regulatory response. Our approach is motivated by the hypothesis that in simple orga...