1614 search results - page 65 / 323 » Learning Rules and Their Exceptions |
ICML
1991
IEEE
15 years 1 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 ...
ISCAS
2003
IEEE
15 years 3 months ago
2003
IEEE
Temporally-asymmetric Hebbian learning is a class of algorithms motivated by data from recent neurophysiology experiments. While traditional Hebbian learning rules use mean firin...
PKDD
2004
Springer
15 years 3 months ago
2004
Springer
This paper proposes an efficient method to learn from multi source data with an Inductive Logic Programming method. The method is based on two steps. The first one consists in lea...
CEC
2005
IEEE
14 years 11 months ago
2005
IEEE
This paper presents an investigation into exploiting the population-based nature of Learning Classifier Systems for their use within highly-parallel systems. In particular, the use...
JAIR
2007
14 years 9 months ago
2007
In this article, we work towards the goal of developing agents that can learn to act in complex worlds. We develop a a new probabilistic planning rule representation to compactly ...