Research Activities : Publications

Franck Thollard's research activities

«UJM at INEX 2008: pre impacting of tags weights»,
Géry, M. and C. Largeron, Christine and Thollard F.,
Workshop INEX (INitiative for Evaluation of XML Retrieval), 2009.
Impact précoce du poids des balises pour la recherche d'information ciblé,
Géry, Mathias; Largeron, Christine; Thollard, Franck,
Actes de la Sixième Conférence Francophone en Recherche d'Information et Applications, 2009. pp 333-348. pdf.

Integrating structure in the probabilistic model for Information Retrievali
Géry M. and Largeron C. and Thollard F.
Proceedings IEEE / WIC / ACM International Conference on Web Intelligence, 2008, Australia
Efficient Pruning of Probabilistic Automata
Thollard F. and Jeudy B.
Structural and Syntactic Pattern Recognition and Statistical Techniques in Pattern Recognition, S+SSPR'08 Editor Springer Verlag, Lecture Notes in Computer Sciences (LNCS), pdf and linux binary
Position models and language modeling
Zdziobeck, A. and Thollard F.
Structural and Syntactic Pattern Recognition and Statistical Techniques in Pattern Recognition, S+SSPR'08 Editor Springer Verlag, Lecture Notes in Computer Sciences (LNCS), pdf
Élagage efficace d'automates probabilistes
Jeudy B. and Thollard F.
CAp, Conférence d'apprentisage. Pages 89-104, éditor Cépaduès éditions
Intégration de la structure dans un modèle probabiliste de documents
Géry M., Largeron C., Thollard F.
EGC 2008, pages 613-618

A tabular pruning rule in tree-based fast Nearest Neighbor Search algorithms
Oncina J., Thollard F., Gomez-Ballester E., Luisa M., Moreno-Seco F.
3rd Iberian Conference on Pattern Recognition and Image Analysis (ibPRIA), Springer, June, 2007
UJM at INEX 2007: Document Model Integrating XML Tags
Mathias G., Christine L., Thollard F. INEX 2007. In In Focused Access to XML Documents. LNCS, Springer-Verlag. 103-114,

Probabilistic finite-state machines - Part I.
E. Vidal, F. Thollard, C. de la Higuera, , F. Casacuberta, and R. C. Carrasco.
IEEE Trans. on Pattern Analysis and Machine Intelligence, volume 27, issue 7, pages 1013- 1025.
bibtex, pdf
Probabilistic finite-state machines - Part II.
E. Vidal, F. Thollard, C. de la Higuera, , F. Casacuberta, and R. C. Carrasco.
IEEE Trans. on Pattern analysis and Machine Intelligence, volume 27, issue 7, pages 1026- 1039.
bibtex, pdf
Artificial data and language theory
Antoine Cornuéjols Franck Thollard
GI workshop 2006. Grammatical inference: workshop on open problems and new directions
Symbolic answers to an eye- tracking problem
C. Largeron, F. Thollard
NIPS 2005 Workshops on Machine Learning for Implicit Feedback, 10 Dec 2005, Whistler, Canada. pdf

Learning Stochastic Deterministic Regular Languages
F. Thollard and A. Clark
Proceedings of ICGI'04, p 248-260
abstract, BibTeX
Partially Distribution-Free Learning of Regular Languages from Positive Samples, A. Clark and F. Thollard,
Proceedings of COLING'04, Geneva
PAC-learnability of Probabilistic Deterministic Finite State Automata A. Clark and F. Thollard,
Journal of Machine Learning Research (JMLR, Vol. 5) (abstract, ps.gz , pdf , bibtex)

Boosting density function estimators F. Thollard and M. Sebban and P. Ezequel
European Colloquium on Machine Learning (ECML'02) (abstract .ps.gz, bibtex)
Shallow Parsing using Probabilistic Grammatical Inference F. Thollard and A. Clark (abstract .ps.gz, bibtex)
Internationnal Colloquium on Grammatical Inference ICGI'02
Apprentissage d'automates probabilistes déterministes F. Thollard and A. Clark
Conférence d'apprentissage CAP'02
Détection de Groupes Nominaux par Inférence Grammaticale Probabiliste F. Thollard and A. Clark
Conférence d'apprentissage CAP'02

Improving Probabilistic Grammatical Inference Core Algorithms with Post-processing Techniques F. Thollard
Internationnal Colloquium on Machine Learning ICML'01 (abstract, .pdf , bibtex)
Learning Computational Grammars (invited paper) J. Nerbonne, A. Belz, N. Cancedda, H. Déjean, J. Hammerton, R. Koeling, S. Konstantopoulos, M. Osborne, F. Thollard, E. Tjong Kim Sang
Computational Natural Language Learning CONLLL'01 (invited paper) (abstract, .ps.gz, bibtex)
Inférence grammaticale probabiliste et détection de groupes nominaux : résultats préliminaires F. Thollard
Conférence d'Apprentissage CAP'01 (abstract, .ps.gz, bibtex)

Probabilistic DFA Inference using Kullback-Leibler Divergence and Minimality F. Thollard, P. Dupont, C. de la Higuera
Internationnal Conference on Machine Learning ICML'2k (abstract, .pdf, bibtex)
Identification in the limit with probability one of stochastic deterministic finite automata C. de la Higuera and F. Thollard
International Colloquium on Grammaticale Inference ICGI'00 (abstract .ps.gz, bibtex) PhD Thesis

Entropie relative et algorithmes d'inférence grammaticale probabiliste F. Thollard, P. Dupont
Conférence d'Apprentissage CAp'99 (abstract, .ps.gz, bibtex)
Importance du lissage en inférence grammaticale F. Thollard, C. De la Higuera
European Conference on Machine Learning (poster session) ECML'98 Poster Session (abstract,ps.gz, bibtex)
Use of Grammatical Inference in Natural Speech Recognition F. Thollard
Algorithmic Learning Theory workshop ALT'98 workshop (abstract, ps.gz,bibtex)
Seed coat fragment counting and sizing in card web J. P. Gourlot, R. Frydrych, E. Hequet, F. Thollard, O. Constantin, B. Bachelier
Beltwide Cotton Conference 1995 (abstract, bibtex)

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Last modified: Tue 11 Jun 2002