1134 search results - page 111 / 227 » Sequential Inductive Learning |
ILP
2004
Springer
15 years 3 months ago
2004
Springer
This paper focuses on inductive learning of recursive logical theories from a set of examples. This is a complex task where the learning of one predicate definition should be inter...
NIPS
2007
14 years 11 months ago
2007
Semi-supervised inductive learning concerns how to learn a decision rule from a data set containing both labeled and unlabeled data. Several boosting algorithms have been extended...
SEMWEB
2009
Springer
15 years 4 months ago
2009
Springer
Probabilistic Description Logics are the basis of ontologies in the Semantic Web. Knowledge representation and reasoning for these logics have been extensively explored in the last...
ICML
2010
IEEE
14 years 11 months ago
2010
IEEE
The structure of a Markov network is typically learned using top-down search. At each step, the search specializes a feature by conjoining it to the variable or feature that most ...
KDD
2003
ACM
15 years 10 months ago
2003
ACM
Dimensionality reduction via Random Projections has attracted considerable attention in recent years. The approach has interesting theoretical underpinnings and offers computation...