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Multistrategy Operators for Relational Learning and Their Cooperation (2006)  (Make Corrections)  
F. Esposito, N. Fanizzi, S. Ferilli, T.M.A. Basile, N. Di Mauro



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Abstract: Traditional Machine Learning approaches based on single inference mechanisms have reached their limits. This causes the need for a framework that integrates approaches based on abduction and abstraction capabilities in the inductive learning paradigm, in the light of Michalski's Inferential Theory of Learning (ITL). This work is intended as a survey of the most significant contributions that are present in the literature, concerning single reasoning strategies and practical ways for... (Update)

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BibTeX entry:   (Update)

@misc{ esposito-multistrategy,
  author = "F. Esposito and N. Fanizzi and S. Ferilli and T.M.A. Basile and N. Di Mauro",
  title = "Multistrategy Operators for Relational Learning and Their Cooperation",
  url = "citeseer.ist.psu.edu/esposito06multistrategy.html" }
Citations (may not include all citations):
1838   Foundations of Logic Programming (context) - Lloyd - 1987
759   Negation as Failure (context) - Clark - 1978
392   A Theory and Methodology of Inductive Learning (context) - Michalski - 1983
388   Inductive Logic Programming - Muggleton, De Raedt - 1994
274   Generalization as Search (context) - Mitchell - 1982
218   Logic Programming and Databases (context) - Ceri, Gottlob et al. - 1990
212   Abductive Logic Programming - Kakas, Kowalski et al. - 1993
80   Shift of Bias for Inductive Concept Learning (context) - Utgoff - 1986
63   Theorem Proving with Abstraction (context) - Plaisted - 1981
58   The Handbook of Artificial Intelligence (context) - Cohen, Feigenbaum - 1981
53   Artificial Intelligence (context) - Giunchiglia, Walsh - 1992
36   Equality and Domain Closure in First Order Databases (context) - Reiter - 1980
34   Propositionalization Approaches to Relational Data Mining (context) - Kramer, Lavrac et al. - 2001
34   Foundations of Inductive Logic Programming (context) - Nienhuys-Cheng, de Wolf - 1997
33   Relational Data Mining (context) - Dzeroski, Lavrac - 2001
32   The relevance of irrelevance (context) - Subramanian, Genesereth - 1987
24   Beyond Inversion of Resolution (context) - Rouveirol, Puget - 1990
23   Interactive Theory Revision - An Inductive Logic Programming.. (context) - De Raedt - 1992
22   Learning function-free Horn expressions - Khardon - 1999
21   Specialization of Logic Programs by Pruning SLD-trees - Bostrom, Idestam-Almquist - 1994
21   the Relation between Truth Maintenance and Abduction (context) - Kakas, Mancarella - 1990
14   Multistrategy Theory Revision: Induction and Abduction in IN.. (context) - Esposito, Semeraro et al. - 2000
13   Predicate Invention in Inductive Logic Programming (context) - Stahl - 1996
10   Preserving Consistency Across Abstraction Mappings (context) - Tenenberg - 1987
9   Semantic Abstraction for Concept Representation and Learning - Zucker - 1998
9   A Logic Framework for the Incremental Inductive Synthesis of.. (context) - Semeraro, Esposito et al. - 1998
9   Abduction and Learning - Dimopoulos, Kakas - 1996
7   Incremental Multistrategy Learning for Document Processing (context) - Esposito, Ferilli et al. - 2003
7   Developing Foundations for Multistrategy Learning - Michalski - 1994
6   Cooperation of Abduction and Induction in Logic Programming (context) - Lamma, Mello et al. - 2000
5   An Analysis of Refinement Operators in Inductive Logic Progr.. (context) - van der Laag - 1995
3   Abstractions for Knowledge Organization of Relational Descri.. - Bournaud, Courtine et al.
3   A generalization model based on OI-implication for ideal the.. (context) - Esposito, Fanizzi et al. - 2001
3   Abstracting Concepts with Inverse Resolution (context) - Giordana, Roverso et al. - 1991
2   An Abductive Proof Procedure Handling Active Rules (context) - Mancarella, Terreni
2   Galois: an order-theoric approach to conceptual clustering (context) - Carpineto, Romano - 1993
1   Abstracting Visual Percepts to Learn Concepts - Zucker, Bredeche et al.
1   Apprenticeship learning in nonhomogeneous domain theories (context) - Tecuci, Kodratoff - 1990
1   Abduction Compared to Negation by Failure (context) - Eshghi, Kowalski - 1989
1   Perceptual Learning and Abstraction in Machine Learning - Bredeche, Zucker et al. - 2003
1   Working Notes of the Workshop on Automated Generation of App.. (context) - Giordana, Saitta et al. - 1990
1   Propositionalization for Clustering Symbolic Relational Desc.. (context) - Bournaud, Courtine
1   Machine Learning: ECML (context) - Stone, Veloso

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