Lorenza Saitta

Sébastien Mustière

Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005

Experimental comparison between bagging and Monte Carlo ensemble classification.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2005

Experimental Evaluation of Hierarchical Hidden Markov Models.

[BibT_eX]

[DOI]

Ugo Galassi

Proceedings of the AI*IA 2005: Advances in Artificial Intelligence, 2005

2004

A Monte Carlo analysis of ensemble classification.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2004

2003

Relational Learning as Search in a Critical Region.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2003

Monte Carlo Theory as an Explanation of Bagging and Boosting.

[BibT_eX]

[DOI]

Proceedings of the IJCAI-03, 2003

Transition de phase et apprentissage relationnel : une analyse critique.

[BibT_eX]

Proceedings of the Extraction et gestion des connaissances (EGC'2003), 2003

Explaining Bagging with Monte Carlo Theory.

[BibT_eX]

[DOI]

Proceedings of the AI*IA 2003: Advances in Artificial Intelligence, 2003

2002

Abstracting Visual Percepts to Learn Concepts.

[BibT_eX]

[DOI]

Nicolas Bredèche

Proceedings of the Abstraction, 2002

Is a Greedy Covering Strategy an Extreme Boosting?

[BibT_eX]

[DOI]

Proceedings of the Foundations of Intelligent Systems, 13th International Symposium, 2002

2001

A Model of Abstraction in Visual Perception.

[BibT_eX]

[DOI]

Appl. Artif. Intell., 2001

Learning on the Phase Transition Edge.

[BibT_eX]

Alessandro Serra

Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

Boosting as a Monte Carlo Algorithm.

[BibT_eX]

[DOI]

Proceedings of the AI*IA 2001: Advances in Artificial Intelligence, 2001

Integrated Architectures for Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Its Applications, Advanced Lectures, 2001

2000

Phase Transitions in Relational Learning.

[BibT_eX]

[DOI]

Mach. Learn., 2000

Guest Editors' Introduction.

[BibT_eX]

[DOI]

Floriana Esposito

Ryszard S. Michalski

Mach. Learn., 2000

Abstraction and Phase Transitions in Relational Learning.

[BibT_eX]

[DOI]

Proceedings of the Abstraction, 2000

Perception-Based Granularity Levels in Concept Representation.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Intelligent Systems, 12th International Symposium, 2000

Abstraction in Cartographic Generalization.

[BibT_eX]

[DOI]

Sébastien Mustière

Proceedings of the Foundations of Intelligent Systems, 12th International Symposium, 2000

Can Relational Learning Scale Up?

[BibT_eX]

[DOI]

Proceedings of the Foundations of Intelligent Systems, 12th International Symposium, 2000

Analyzing Relational Learning in the Phase Transition Framework.

[BibT_eX]

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1999

On-Line Estimation of Matching Complexity in First Order Logic.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Intelligent Systems, 11th International Symposium, 1999

An Experimental Study of Phase Transitions in Matching.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Cartographic Generalization as a Combination of Representing and Abstracting Knowledge.

[BibT_eX]

[DOI]

Sébastien Mustière

Proceedings of the ACM-GIS '99, 1999

Relational Learning: Hard Problems and Phase Transitions.

[BibT_eX]

[DOI]

Proceedings of the AI*IA 99:Advances in Artificial Intelligence, 1999

1998

Learning in the " Real World".

[BibT_eX]

[DOI]

Mach. Learn., 1998

An Experimental Evaluation of Coevolutive Concept Learning.

[BibT_eX]

Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Coevolutionary, Distributed Search for Inducing Concept Description.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML-98, 1998

1997

Integrating Multiple Learning Strategies in First Order Logics.

[BibT_eX]

[DOI]

Mach. Learn., 1997

Machine Learning for Information Extraction.

[BibT_eX]

[DOI]

Proceedings of the Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology, 1997

World Model Construction in Children during Physics Learning.

[BibT_eX]

[DOI]

Andrée Tiberghien

Proceedings of the Foundations of Intelligent Systems, 10th International Symposium, 1997

A Coevolutionary Approach to Concept Learning.

[BibT_eX]

[DOI]

Giuseppe Lo Bello

Proceedings of the Foundations of Intelligent Systems, 10th International Symposium, 1997

A Network Genetic Algorithm for Concept Learning.

[BibT_eX]

Proceedings of the 7th International Conference on Genetic Algorithms, 1997

Modelling Conceptual Change: An Interdisciplinary Approach.

[BibT_eX]

[DOI]

Andrée Tiberghien

Proceedings of the AI*IA 97: Advances in Artificial Intelligence, 1997

1996

Exploring the Power of Genetic Search in Learning Symbolic Classifiers.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 1996

An Analysis of the "Universal Suffrage" Selection Operator.

[BibT_eX]

[DOI]

Evol. Comput., 1996

Representation Change in Machine Learning.

[BibT_eX]

[DOI]

AI Commun., 1996

A Fine-Grained Parallel Evolutionary Program for Concept Induction.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Intelligent Systems, 9th International Symposium, 1996

1995

Analysis of Genetic Algorithms Evolution under Pure Selection.

[BibT_eX]

Proceedings of the 6th International Conference on Genetic Algorithms, 1995

1994

Formal Models of Selection in Genetic Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Methodologies for Intelligent Systems, 8th International Symposium, 1994

Learning Disjunctive Concepts by Means of Genetic Algorithms.

[BibT_eX]

[DOI]

Floriano Zini

Proceedings of the Machine Learning, 1994

Learning Disjunctive Concepts with Distributed Genetic Algorithms.

[BibT_eX]

[DOI]

Floriano Zini

Proceedings of the First IEEE Conference on Evolutionary Computation, 1994

Knowledge Representation in Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML-94, 1994

Learning Disjunctive Concept Definitions Using a Genetic Algorithm.

[BibT_eX]

Floriano Zini

Proceedings of the Eleventh European Conference on Artificial Intelligence, 1994

1993

A semiautomated methodology for knowledge elicitation.

[BibT_eX]

[DOI]

Claudie Faure

Simonetta Frediani

IEEE Trans. Syst. Man Cybern., 1993

ENIGMA: A System That Learns Diagnostic Knowledge.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 1993

Pattern Recognition and Valiant's Learning Framework.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 1993

Multistrategy Learning and Theory Revision.

[BibT_eX]

[DOI]

Mach. Learn., 1993

Learning Simple Recursive Theories.

[BibT_eX]

[DOI]

Cristina Baroglio

Proceedings of the Methodologies for Intelligent Systems, 7th International Symposium, 1993

Learning Relations Using Genetic Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 1993

1992

Learning Mutually Dependent Relations.

[BibT_eX]

[DOI]

Cristina Baroglio

J. Intell. Inf. Syst., 1992

Use of Causal Models and Abduction in Learning Diagnostic Knowledge.

[BibT_eX]

[DOI]

Int. J. Man Mach. Stud., 1992

Comparison of Search Strategies in Learning Relations.

[BibT_eX]

Proceedings of the 10th European Conference on Artificial Intelligence, 1992

1991

Rigel: An Inductive Learning System.

[BibT_eX]

[DOI]

Roberto Gemello

Franco Mana

Mach. Learn., 1991

Investigating the Relationships between Abduction and Inverse Resolution in Proposition Calculus.

[BibT_eX]

[DOI]

Luca Console

Proceedings of the Methodologies for Intelligent Systems, 6th International Symposium, 1991

Abstracting Concepts with Inverse Resolution.

[BibT_eX]

[DOI]

Davide Roverso

Proceedings of the Eighth International Workshop (ML91), 1991

Improving Learning Using Causality and Abduction.

[BibT_eX]

[DOI]

Proceedings of the Eighth International Workshop (ML91), 1991

Panel: Causality and Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 1991

Abstracting Background Knowledge for Concept Learning.

[BibT_eX]

[DOI]

Davide Roverso

Proceedings of the Machine Learning, 1991

Extending Inverse Resolution to Build Up Abstractions.

[BibT_eX]

[DOI]

Proceedings of the Trends in Artificial Intelligence, 1991

Use of a Causal Model to Learn Diagnostic Knowledge in a Real Domain.

[BibT_eX]

[DOI]

Proceedings of the Trends in Artificial Intelligence, 1991

Integrated Learning in a Real Domain.

[BibT_eX]

Proceedings of the Knowledge Discovery in Databases, 1991

Machine learning - an integrated framework and its applications.

[BibT_eX]

Ellis Horwood series in artificial intelligence, Ellis Horwood, ISBN: 978-0-13-541749-2, 1991

1990

Mechanical Analysis.

[BibT_eX]

[DOI]

Dataset, May, 1990

Integrated Learning in a real Domain.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 1990

Biasing Induction by Using a Domain Theory: An Experimental Evaluation.

[BibT_eX]

Proceedings of the 9th European Conference on Artificial Intelligence, 1990

1989

Knowledge representation and use in pattern analysis.

[BibT_eX]

[DOI]

Inf. Sci., 1989

Dealing with uncertain knowledge in medical decision-making: A case study in hepatology.

[BibT_eX]

[DOI]

Leonardo Lesmo

Pietro Torasso

Artif. Intell. Medicine, 1989

1988

Automated Concept Acquisition in Noisy Environments.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 1988

Improving Knowledge-Based System Performance by Experience.

[BibT_eX]

Proceedings of the Third European Working Session on Learning, 1988

Concept Acquisition in an Integrated EBL and SBL Environment.

[BibT_eX]

Proceedings of the 8th European Conference on Artificial Intelligence, 1988

1987

A General Framework for Knowledge-Based Pattern Recognition.

[BibT_eX]

[DOI]

Int. J. Pattern Recognit. Artif. Intell., 1987

Integrating EBL and SBL Approaches to Knowledge Base Refinement.

[BibT_eX]

Proceedings of the Methodologies for Intelligent Systems, 1987

1986

Discrimination of Words in a Large Vocabulary Using Phonetic Descriptions.

[BibT_eX]

[DOI]

Pietro Laface

Int. J. Man Mach. Stud., 1986

Knowledge base organization in expert systems.

[BibT_eX]

[DOI]

Simonetta Frediani

Proceedings of the ACM SIGART International Symposium on Methodologies for Intelligent Systems, 1986

1985

A non-left-to-right, non-directional parser for ambiguous lattices.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 1985

An expert system oriented to complex pattern recognition problems.

[BibT_eX]

[DOI]

Inf. Sci., 1985

Modelling Production Systems by means of Predicate-Transitions Networks.

[BibT_eX]

[DOI]

Inf. Sci., 1985

Evidence Combination in Expert Systems.

[BibT_eX]

[DOI]

Leonardo Lesmo

Pietro Torasso

Int. J. Man Mach. Stud., 1985

1984

An expert system for mapping acoustic cues into phonetic features.

[BibT_eX]

[DOI]

Inf. Sci., 1984

1983

Experiments in Evidence Composition in a Speech Understanding System.

[BibT_eX]

[DOI]

Int. J. Man Mach. Stud., 1983

1982

An Expert System for Speech Decoding.

[BibT_eX]

Proceedings of the 5th European Conference on Artificial Intelligence, 1982

An Expert System for Interpreting Speech Patterns.

[BibT_eX]

[DOI]

Proceedings of the National Conference on Artificial Intelligence, 1982

1980

Automatic learning of fuzzy naming relations over finite languages.

[BibT_eX]

[DOI]

Renato de Mori

Mariangiola Dezani-Ciancaglini

Inf. Sci., 1980

1979

Complexity of lambda-term reductions.

[BibT_eX]

[DOI]

Simona Ronchi Della Rocca

RAIRO Theor. Informatics Appl., 1979

Scheduling of Processes in a Speech Understanding System Based on Approximate Reasoning.

[BibT_eX]

Renato de Mori

Proceedings of the Sixth International Joint Conference on Artificial Intelligence, 1979

1978

Fuzzy semantic network for a speech understanding system - an experimental study.

[BibT_eX]

[DOI]