ILP
2007
Springer
14 years 1 months ago
2007
Springer
Research over the past several decades in learning logical and probabilistic models has greatly increased the range of phenomena that machine learning can address. Recent work has ...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
This paper presents Fuzzy-UCS, a Michigan-style Learning Fuzzy-Classifier System designed for supervised learning tasks. Fuzzy-UCS combines the generalization capabilities of UCS...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
EUROCAST
2007
Springer
14 years 1 months ago
2007
Springer
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
ECML
2007
Springer
14 years 1 months ago
2007
Springer
Many data mining techniques are these days in use for ontology learning – text mining, Web mining, graph mining, link analysis, relational data mining, and so on. In the current ...
ECML
2007
Springer
14 years 1 months ago
2007
Springer
At the International Research and Educational Institute for Integrated Medical Sciences (IREIIMS) project, we are collecting complete medical data sets to determine relationships b...
ECML
2007
Springer
14 years 1 months ago
2007
Springer
The availability of techniques for comparing descriptions has many applications in Artificial Intelligence, ranging from description selection to flexible matching, from instance...
ECML
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. A clustering method is presented which can be applied to semantically annotated resources in the context of ontological knowledge bases. This method can be used to discov...
ECML
2007
Springer
14 years 1 months ago
2007
Springer
ECML
2007
Springer
14 years 1 months ago
2007
Springer
Word meaning ambiguity has always been an important problem in information retrieval and extraction, as well as, text mining (documents clustering and classification). Knowledge di...