24 search results - page 2 / 5 » Applying Genetic and Symbolic Learning Algorithms to Extract... |
AIIA
2001
Springer
13 years 9 months ago
2001
Springer
– This paper proposes a knowledge-based neurocomputing approach to extract and refine a set of linguistic rules from data. A neural network is designed along with its learning al...
CEC
2008
IEEE
13 years 11 months ago
2008
IEEE
—Genetic programming (GP), is a very general and efficient technique, often capable of outperforming more specialized techniques on a variety of tasks. In this paper, we suggest ...
FLAIRS
2004
13 years 6 months ago
2004
Artificial Neural Networks (ANNs) have proved both a popular and powerful technique for pattern recognition tasks in a number of problem domains. However, the adoption of ANNs in ...
ICANN
2009
Springer
13 years 2 months ago
2009
Springer
Different algorithms have been proposed in the literature to cluster gene expression data, however there is no single algorithm that can be considered the best one independently on...
VLDB
1995
ACM
13 years 8 months ago
1995
ACM
Classification, which involves finding rules that partition a given da.ta set into disjoint groups, is one class of data mining problems. Approaches proposed so far for mining cla...