Mots-clés

Nombre de documents

33

Marc Tommasi


Article dans une revue1 document

  • Rémi Gilleron, Sophie Tison, Marc Tommasi. Set constraints and automata. Information and Computation, Elsevier, 1999, 149 (1), pp.1--41. 〈inria-00538886〉

Communication dans un congrès22 documents

  • Paul Vanhaesebrouck, Aurélien Bellet, Marc Tommasi. Decentralized Collaborative Learning of Personalized Models over Networks. International Conference on Artificial Intelligence and Statistics (AISTATS), Apr 2017, Fort Lauderdale, Florida., United States. 〈hal-01533182〉
  • David Chatel, Pascal Denis, Marc Tommasi. Fast Gaussian Pairwise Constrained Spectral Clustering. ECML/PKDD - 7th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2014, Nancy, France. pp.242 - 257, 2014, 〈10.1007/978-3-662-44848-9_16〉. 〈hal-01017269〉
  • Grégoire Laurence, Aurélien Lemay, Joachim Niehren, Slawomir Staworko, Marc Tommasi. Learning Sequential Tree-to-Word Transducers. 8th International Conference on Language and Automata Theory and Applications, Mar 2014, Madrid, Spain. Springer, 2014. 〈hal-00912969〉
  • Thomas Ricatte, Rémi Gilleron, Marc Tommasi. Hypernode Graphs for Spectral Learning on Binary Relations over Sets. ECML/PKDD - 7th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2014, Nancy, France. 2014, Machine Learning and Knowledge Discovery in Databases. 〈hal-01017025〉
  • Thomas Ricatte, Gemma Garriga, Rémi Gilleron, Marc Tommasi. Learning from Multiple Graphs using a Sigmoid Kernel. The 12th International Conference on Machine Learning and Applications (ICMLA'13), Dec 2013, Miami, United States. 2013. 〈hal-00913237〉
  • Antonino Freno, Mikaela Keller, Gemma Garriga, Marc Tommasi. Spectral Estimation of Conditional Random Graph Models for Large-Scale Network data. UAI 2012 - 28th Conference on Uncertainty in Artificial Intelligence, 2012, Avalon, United States. 2012. 〈hal-00714446〉
  • Antonino Freno, Mikaela Keller, Marc Tommasi. Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling. Neural Information Processing Systems (NIPS), Dec 2012, Lake Tahoe, United States. MIT Press, 25, 2012, Advances in Neural Information Processing Systems. 〈hal-00750345〉
  • Grégoire Laurence, Aurélien Lemay, Joachim Niehren, Slawomir Staworko, Marc Tommasi. Normalization of Sequential Top-Down Tree-to-Word Transducers. 5th International Conference on Language Automata Theory and Appliciations, May 2011, Tarragona, Spain. Springer, 2011, LNCS. 〈inria-00566291〉
  • Marc Tommasi, Rémi Gilleron, Pierre Senellart, Avin Mittal, Daniel Muschick. Automatic Wrapper Induction from Hidden-Web Sources with Domain Knowledge. International Workshop on Web information and data managment, Oct 2008, Napa, United States. ACM, pp.9-16, 2008. 〈inria-00337098〉
  • François Denis, Edouard Gilbert, Amaury Habrard, Faïssal Ouardi, Marc Tommasi. Relevant Representations for the Inference of Rational Stochastic Tree Languages. Francois Coste and Alexander Clark and Laurent Miclet. International Colloquium on Grammatical Inference, 2008, St Malo, France. Springer Verlag, 5278, pp.57-70, 2008, Lecture Notes in Artificial Intelligence. 〈hal-00293511v3〉
  • François Denis, Amaury Habrard, Rémi Gilleron, Marc Tommasi, Édouard Gilbert. On Probability Distributions for Trees: Representations, Inference and Learning. NIPS Workshop on Representations and Inference on Probability Distributions, Dec 2007, Whistler, Canada. 2007. 〈inria-00294636〉
  • Rémi Gilleron, Patrick Marty, Fabien Torre, Marc Tommasi. Interactive Tuples Extraction from Semi-Structured Data. Web Intelligence, Dec 2006, Hong Kong, China. 2006. 〈inria-00581253〉
  • Florent Jousse, Rémi Gilleron, Isabelle Tellier, Marc Tommasi. Conditional Random Fields for XML Trees. Workshop on Mining and Learning in Graphs, Sep 2006, Berlin, Germany. 2006. 〈inria-00118761〉
  • Florent Jousse, Rémi Gilleron, Isabelle Tellier, Marc Tommasi. Champs Conditionnels Aléatoires pour l'Annotation d'Arbres. CAp 2006, May 2006, Trégastel, France. 2006. 〈inria-00117014〉
  • Rémi Gilleron, Florent Jousse, Isabelle Tellier, Marc Tommasi. XML Document Transformation with Conditional Random Fields. INEX 2006, Dec 2006, Dagstuhl, Germany. 4518 (4518), 2006, LNCS. 〈inria-00147052〉
  • Julien Carme, Joachim Niehren, Marc Tommasi. Querying Unranked Trees with Stepwise Tree Automata. Vincent van Oostrom. 19th International Conference on Rewriting Techniques and Applications, 2004, Aachen, Georgia. Springer, 3091, pp.105--118, 2004, LNCS. 〈inria-00536529〉
  • Françesco De Comite, Rémi Gilleron, Marc Tommasi. Learning Multi-label Alternating Decision Trees from Texts and Data. Petra Perner, Azriel Rosenfeld. International Conference on Machine Learning and Data Mining, 2003, Leipzig, Georgia. Springer, pp.35-49, 2003, Lecture Notes in Artificial Intelligence. 〈inria-00536733〉
  • Julien Carme, Rémi Gilleron, Marc Tommasi, Alain Terlutte, Aurélien Lemay. Residual Finite Tree Automata. 7th International Conference on Developments in Language Theory, Jul 2003, Szeged, Hungary, Hungary. Springer Verlag, 2710 (2710), pp.171 -- 182, 2003. 〈inria-00091272v2〉
  • François Denis, Rémi Gilleron, Marc Tommasi. Text Classification from Positive and Unlabeled Examples. Proceedings of the 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU'02, 2002, Grenoble, France. pp.1927--1934, 2002. 〈inria-00538889〉
  • Rémi Gilleron, Sophie Tison, Marc Tommasi. Some new Decidability Results on Positive and Negative Set Constraints. Proceedings of First International Conference on Constraints in Computational Logics, CCL'94, 1994, Munich, Germany. Springer Verlag, 845, pp.336--351, 1994, Lecture Notes in Computer Science. 〈inria-00538880〉
  • Rémi Gilleron, Sophie Tison, Marc Tommasi. Solving Systems of Set Constraints using Tree Automata. Proceedings of the 10th Annual Symposium on Theoretical Aspects of Computer Science, STACS'93, 1993, Würzburg, Germany. Springer Verlag, 665, pp.505--514, 1993, Lecture Notes in Computer Science. 〈inria-00538878〉
  • Rémi Gilleron, Sophie Tison, Marc Tommasi. Solving Systems of Set Constraints with Negated Subset Relationships. Proceedings of the $34^th$ Symposium on Foundations of Computer Science, FOCS'93, 1993, Palo Alto California, United States. IEEE, pp.372--380, 1993. 〈inria-00538879〉

Chapitre d'ouvrage1 document

  • Isabelle Tellier, Marc Tommasi. Champs Markoviens Conditionnels pour l'extraction d'information. Eric Gaussier and François Yvon. Modèles probabilistes pour l'accès à l'information textuelle, Hermès, pp.223-267, 2011. 〈inria-00514525〉

Autre publication2 documents

  • Grégoire Laurence, Aurélien Lemay, Joachim Niehren, Slawomir Staworko, Marc Tommasi. Sequential Tree-to-Word Transducers: Normalization, Minimization, and Learning. Long version of Lata 14 paper. 2015. 〈hal-01186993〉
  • Philippe Preux, Marc Tommasi, Thierry Vieville, Colin De La Higuera. L’apprentissage automatique : le diable n’est pas dans l’algorithme. Article sur http://binaire.blog.lemonde.fr. 2015. 〈hal-01246178〉

Pré-publication, Document de travail1 document

  • Antonino Freno, Mikaela Keller, Marc Tommasi. Probability Estimation over Large-Scale Random Networks via the Fiedler Delta Statistic. 2013. 〈hal-00922432〉

Rapport5 documents

  • Paul Vanhaesebrouck, Aurélien Bellet, Marc Tommasi. Decentralized Collaborative Learning of Personalized Models over Networks. [Research Report] INRIA Lille. 2016. 〈hal-01383544〉
  • Thomas Ricatte, Rémi Gilleron, Marc Tommasi. Hypernode Graphs for Learning from Binary Relations between Groups in Networks. [Research Report] INRIA Lille. 2015. 〈hal-01247103〉
  • Thomas Ricatte, Gemma Garriga, Rémi Gilleron, Marc Tommasi. A Spectral Framework for a Class of Undirected Hypergraphs. [Research Report] 2013. 〈hal-00914286v2〉
  • Édouard Gilbert, Rémi Gilleron, Marc Tommasi. Series, Weighted Automata, Probabilistic Automata and Probability Distributions for Unranked Trees.. [Research Report] RR-7200, INRIA. 2010, pp.23. 〈inria-00455955v2〉
  • Rémi Gilleron, Florent Jousse, Marc Tommasi, Isabelle Tellier. Conditional Random Fields for XML Applications. [Research Report] RR-6738, INRIA. 2008. 〈inria-00342279〉

HDR1 document

  • Marc Tommasi. Structures arborescentes et apprentissage automatique. Autre [cs.OH]. Université Charles de Gaulle - Lille III, 2006. 〈tel-00117063〉