1170 search results - page 46 / 234 » Experience with Ripple-Down Rules |
ICAISC
2010
Springer
14 years 10 months ago
2010
Springer
Attempts to extract logical rules from data often lead to large sets of classification rules that need to be pruned. Training two classifiers, the C4.5 decision tree and the Non-Ne...
JUCS
2007
14 years 9 months ago
2007
: Rule mining is an important issue in data mining. To address it, a novel Immune Gene Expression Programming (IGEP) model was proposed. Concepts of rule, gene, immune cell, and an...
CIKM
2010
Springer
14 years 8 months ago
2010
Springer
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
108
click to vote
JAIR
2010
14 years 8 months ago
2010
Noisy probabilistic relational rules are a promising world model representation for several reasons. They are compact and generalize over world instantiations. They are usually in...
SAB
2010
Springer
14 years 8 months ago
2010
Springer
Biological brains can adapt and learn from past experience. In neuroevolution, i.e. evolving artificial neural networks (ANNs), one way that agents controlled by ANNs can evolve t...