Structural machine learning with Galois lattice and Graphs. M Liquiere, J Sallantin ICML 98, 305-313, 1998 | 138 | 1998 |
Legal: learning with galois lattice M Liquière, E Mephu Nguifo Journées Franaises sur l’Apprentissage, Lannion, 93-113, 1990 | 31* | 1990 |
LC-mine: a framework for frequent subgraph mining with local consistency techniques B Douar, M Liquiere, C Latiri, Y Slimani Knowledge and Information Systems 44, 1-25, 2015 | 16 | 2015 |
Arc consistency projection: A new generalization relation for graphs M Liquiere Conceptual Structures: Knowledge Architectures for Smart Applications: 15th …, 2007 | 13 | 2007 |
A class of conceptual graphs with polynomial iso-projection M Liquiere, O Brissac Supplement Proceedings of the 2nd International Conference on Conceptual …, 1994 | 11 | 1994 |
Some links between formal concept analysis and graph mining M Liquière Mining graph data 12, 227-252, 2006 | 8 | 2006 |
Ga s rule for knowledge discovery NNB Abdullah, M Liquiere, SA Cerri Applied Artificial Intelligence 17 (5-6), 399-417, 2003 | 7 | 2003 |
Learning model transformation patterns using graph generalization H Saada, M Huchard, M Liquière, C Nebut CLA 2014-11th International Conference on Concept Lattices and Their …, 2014 | 6 | 2014 |
JETAI Special Issue on Concept Lattice for KDD EM Nguifo, M Liquiere, V Duquenne Taylor and Francis, 2002 | 6 | 2002 |
Apprentissage a partir d'objets structures: Conception et realisation M Liquière Montpellier 2, 1990 | 6 | 1990 |
FGMAC: Frequent subgraph mining with Arc Consistency B Douar, M Liquiere, C Latiri, Y Slimani 2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM …, 2011 | 5 | 2011 |
Inne (Induction in networks) A structural learning algorithm for noist examples M Liquière, J Sallantin EWSL 89, 111-123, 1989 | 5 | 1989 |
Policies Generalization in Reinforcement Learning using Galois Partitions Lattices. M Ricordeau, M Liquiere CLA, 2007 | 4 | 2007 |
Graph-based relational learning with a polynomial time projection algorithm B Douar, M Liquiere, C Latiri, Y Slimani Inductive Logic Programming: 21st International Conference, ILP 2011 …, 2012 | 3 | 2012 |
Algebraic results and bottom-up algorithm for policies generalization in reinforcement learning using concept lattices M Ricordeau, M Liquière Nonlinear Analysis: Hybrid Systems 2 (2), 684-694, 2008 | 3 | 2008 |
Recherche du noyau ontologique M Liquière CAP'02: Conférence Francophone d'Apprentissage Plate-Forme, pp. 13-24, 2008 | 3 | 2008 |
Graphs and structural similarities M Liquière New Approaches in Classification and Data Analysis, 249-256, 1994 | 3 | 1994 |
Concept lattice-based knowledge discovery in databases EM Nguifo, V Duquenne, M Liquiere Journal of Experimental & Theoretical Artificial Intelligence 14 (2-3), 75-79, 2002 | 2 | 2002 |
INNE: a structured learning algorithm for noisy examples M Liquiere, J Sallantin IEEE International Workshop on Tools for Artificial Intelligence, 70, 71, 72 …, 1989 | 2 | 1989 |
Grid Services as Learning Agents: Steps towards Induction of Communication Protocols NNB Abdullah, M Liquiere, SA Cerri 7th Int. Conf. On Intelligent Tutoring Systems (ITS 2004)–Workshop on Grid …, 0 | 2 | |