96 search results - page 8 / 20 » An Evolutionary Algorithm for Oblique Decision Tree Inductio... |
AAAI
2006
13 years 9 months ago
2006
The majority of the existing algorithms for learning decision trees are greedy--a tree is induced top-down, making locally optimal decisions at each node. In most cases, however, ...
PPSN
1994
Springer
13 years 11 months ago
1994
Springer
This paper studies Genetic Programming (GP) and its relation to the Genetic Algorithm (GA). GP uses a GA approach to breed successive populations of programs, represented in the ch...
ICONIP
2004
13 years 9 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...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
Recent decision-theoric planning algorithms are able to find optimal solutions in large problems, using Factored Markov Decision Processes (fmdps). However, these algorithms need ...
SGAI
2007
Springer
14 years 1 months ago
2007
Springer
Induction of classification rules is one of the most important technologies in data mining. Most of the work in this field has concentrated on the Top Down Induction of Decision T...