Anzeige
Erschienen in:
2013 | OriginalPaper | Buchkapitel
A Heuristic Approach to Handling Sequential Information in Incremental ILP
verfasst von : Stefano Ferilli, Floriana Esposito
Erschienen in: AI*IA 2013: Advances in Artificial Intelligence
Verlag: Springer International Publishing
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
When using Horn Clause Logic as a representation formalism, the use of uninterpreted predicates cannot fully account for the complexity of some domains. In particular, in Machine Learning frameworks based on Horn Clause Logic, purely syntactic generalization cannot be applied to these kinds of predicates, requiring specific problems to be addressed and tailored strategies and techniques to be introduced. Among others, outstanding examples are those of numeric, taxonomic or sequential information. This paper deals with the case of (multidimensional) sequential information.Coverage and generalization techniques are devised and presented, and their integration in an incremental ILP system is used to run experiments showing its performance.