477 search results - page 8 / 96 » Rule Combination in Inductive Learning |
ICML
1991
IEEE
13 years 11 months ago
1991
IEEE
Artificial neural networks have proven to be a successful, general method for inductive learning from examples. However, they have not often been viewed in terms of constructive ...
JSAI
2005
Springer
14 years 27 days ago
2005
Springer
Abstract. This paper is concerned with algorithms for the logical generalisation of probabilistic temporal models from examples. The algorithms combine logic and probabilistic mode...
IEEEICCI
2002
IEEE
14 years 10 days ago
2002
IEEE
We present a model of creating a hierarchical set of rules that encode generalizations and exceptions derived from induction learning. The rules use the input features directly an...
ADMA
2010
Springer
13 years 5 months ago
2010
Springer
This paper reports on an investigation to compare a number of strategies to include negated features within the process of Inductive Rule Learning (IRL). The emphasis is on generat...
COGSR
2011
13 years 2 months ago
2011
We present an application of the analytical inductive programming system Igor to learning sets of recursive rules from positive experience. We propose that this approach can be us...