Cooperation of Multiple Strategies for Automated Learning in Complex Environments

Authors:
Floriana Esposito;Stefano Ferilli;Nicola Fanizzi;Teresa Maria Altomare Basile;Nicola Di Mauro
Affiliations:
-;-;-;-;-
Venue:
ISMIS '02 Proceedings of the 13th International Symposium on Foundations of Intelligent Systems
Year:
2002

Citing 6
Cited 0

Foundations of logic programming; (2nd extended ed.)

Foundations of logic programming; (2nd extended ed.)
Multistrategy Theory Revision: Induction and Abductionin INTHELEX

Machine Learning - Special issue on multistrategy learning
Collaboratories: Doing Science on the Internet

Computer
Customizable Retrieval Functions Based on User Tasks in the Cultural Heritage Domain

ECDL '01 Proceedings of the 5th European Conference on Research and Advanced Technology for Digital Libraries
Machine learning in automated text categorisation

Machine learning in automated text categorisation
OI-implication: soundness and refutation completeness

IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2

Quantified Score

Hi-index	0.00

Visualization

Abstract

This work presents a new version of the incrementall earning system INTHELEX, whose multistrategy learning capabilities have been further enhanced. To improve effectiveness and efficiency of the learning process, pure induction and abduction have been augmented with abstraction and deduction. Some results proving the benefits that the addition of each strategy can bring are also reported. INTHELEX will be the learning component in the architecture of the EU project COLLATE, dealing with cultural heritage documents.