ILP
2000
Springer
13 years 8 months ago
2000
Springer
A method for learning multivariate time series classifiers by inductive logic programming is presented. Two types of background predicate that are suited for this task are introduc...
ILP
2000
Springer
13 years 8 months ago
2000
Springer
Hierarchical reinforcement learning has been proposed as a solution to the problem of scaling up reinforcement learning. The RLTOPs Hierarchical Reinforcement Learning System is an...
ILP
2000
Springer
13 years 8 months ago
2000
Springer
A framework for combining Genetic Algorithms with ILP methods is introduced and a novel binary representation and relevant genetic operators are discussed. It is shown that the pro...
ILP
2000
Springer
13 years 8 months ago
2000
Springer
Induction of recursive theories in the normal ILP setting is a complex task because of the non-monotonicity of the consistency property. In this paper we propose computational solu...
ILP
2000
Springer
13 years 8 months ago
2000
Springer
First-order probabilistic models are recognized as efficient frameworks to represent several realworld problems: they combine the expressive power of first-order logic, which serv...
ILP
2000
Springer
13 years 8 months ago
2000
Springer
ILP
2000
Springer
13 years 8 months ago
2000
Springer
Naive Bayesian classifiers have been very successful in attribute-value representations. However, it is not clear how the decomposition of the probability distributions on attribu...
ILP
2000
Springer
13 years 8 months ago
2000
Springer