311 search results - page 7 / 63 » Improving the performance of evolutionary algorithms for dec... |
ILP
2004
Springer
14 years 2 months ago
2004
Springer
Abstract. This paper introduces Deft, a new multitask learning approach for rule learning algorithms. Like other multitask learning systems, the one proposed here is able to improv...
MLDM
2009
Springer
14 years 3 months ago
2009
Springer
In a world where massive amounts of data are recorded on a large scale we need data mining technologies to gain knowledge from the data in a reasonable time. The Top Down Induction...
JDWM
2007
13 years 8 months ago
2007
This article presents a new evolutionary algorithm (EA) for induction of mixed decision trees. In nonterminal nodes of a mixed tree, different types of tests can be placed, rangin...
ICONIP
2004
13 years 10 months ago
2004
Abstract. This paper presents a neural-evolutionary framework for the simulation of market models in a bounded rationality scenario. Each agent involved in the scenario make use of...
SDM
2010
SIAM
13 years 10 months ago
2010
SIAM
We propose a new decision tree algorithm, Class Confidence Proportion Decision Tree (CCPDT), which is robust and insensitive to class distribution and generates rules which are st...