40 search results - page 2 / 8 » Improving GP classification performance by injection of deci... |
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
A new graph-based evolutionary algorithm named “Genetic Network Programming, GNP” has been proposed. GNP represents its solutions as directed graph structures, which can improv...
DIS
2008
Springer
13 years 6 months ago
2008
Springer
Decision trees are among the most effective and interpretable classification algorithms while ensembles techniques have been proven to alleviate problems regarding over-fitting and...
VLDB
1998
ACM
13 years 9 months ago
1998
ACM
Classification of large datasets is an important data mining problem. Many classification algorithms have been proposed in the literature, but studies have shown that so far no al...
FLAIRS
2004
13 years 6 months ago
2004
Most decision tree induction methods used for extracting knowledge in classification problems are unable to deal with uncertainties embedded within the data, associated with human...
ICDE
2000
IEEE
14 years 6 months ago
2000
IEEE
Most decision tree classifiers are designed to keep class histograms for single attributes, and to select a particular attribute for the next split using said histograms. In this ...