Michel Liquiere
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Structural Machine Learning with Galois Lattice and Graphs
15th International Conference on Machine Learning, 1998 – ICML
This paper defines a formal approach to learning from examples described by labelled graphs. We propose a formal model based upon lattice theory and in particular with the use of Galois lattice. We enlarge the domain of formal concept analysis, by ...
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Workshop on Grid Learning Services
Intelligent Tutoring Systems, 7th International Conference, ITS 2004, vol. 3220,2004 – ITS
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Concept lattice-based knowledge discovery in databases
Journal of Experimental and Theoretical Artificial Intelligence, vol. 14,no. 2-3,2002 – JETAI
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Arc Consistency Projection: A New Generalization Relation for Graphs
Conceptual Structures: Knowledge Architectures for Smart Applications, 15th International Conference on Conceptual Structures, ICCS 2007, vol. 4604,2007 – ICCS
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Nouvelle approche de fouille de graphes AC-réduits fréquents
Extraction et gestion des connaissances (EGC'2011), Actes, vol. 20,2011 – EGC
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Policies Generalization in Reinforcement Learning using Galois Partitions Lattices
Proceedings of the Fifth International Conference on Concept Lattices and Their Applications, CLA 2007, vol. 331,2008 – Concept Lattices and their Applications
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