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2010 – 2019
- 2019
[j13]Raphaël Bailly, Guillaume Rabusseau, François Denis:
Recognizable series on graphs and hypergraphs. J. Comput. Syst. Sci. 104: 58-81 (2019)- 2016
- [j12]François Denis, Mattias Gybels, Amaury Habrard:
Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning. J. Mach. Learn. Res. 17: 31:1-31:32 (2016) - [c30]Denis Arrivault, Dominique Benielli, François Denis, Rémi Eyraud:
Sp2Learn: A Toolbox for the Spectral Learning of Weighted Automata. ICGI 2016: 105-119 - 2015
- [c29]Raphaël Bailly, François Denis, Guillaume Rabusseau:
Recognizable Series on Hypergraphs. LATA 2015: 639-651 - 2014
- [c28]Mattias Gybels, François Denis, Amaury Habrard:
Some improvements of the spectral learning approach for probabilistic grammatical inference. ICGI 2014: 64-78 - [c27]Guillaume Rabusseau, François Denis:
Maximizing a Tree Series in the Representation Space. ICGI 2014: 124-138 - [c26]François Denis, Mattias Gybels, Amaury Habrard:
Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning. ICML 2014: 449-457 - [i7]Guillaume Rabusseau, François Denis:
Learning Negative Mixture Models by Tensor Decompositions. CoRR abs/1403.4224 (2014) - [i6]Raphaël Bailly, François Denis, Guillaume Rabusseau:
Recognizable Series on Hypergraphs. CoRR abs/1404.7533 (2014) - 2013
- [i5]François Denis, Mattias Gybels, Amaury Habrard:
Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning. CoRR abs/1312.6282 (2013) - 2011
- [j11]Raphaël Bailly, François Denis:
Absolute convergence of rational series is semi-decidable. Inf. Comput. 209(3): 280-295 (2011) - 2010
- [c25]Raphaël Bailly, Amaury Habrard, François Denis:
A Spectral Approach for Probabilistic Grammatical Inference on Trees. ALT 2010: 74-88
2000 – 2009
- 2009
- [c24]Raphaël Bailly, François Denis, Liva Ralaivola:
Grammatical inference as a principal component analysis problem. ICML 2009: 33-40 - [c23]Raphaël Bailly, François Denis:
Absolute Convergence of Rational Series Is Semi-decidable. LATA 2009: 117-128 - 2008
- [j10]François Denis, Yann Esposito:
On Rational Stochastic Languages. Fundam. Informaticae 86(1-2): 41-77 (2008) - [c22]François Denis, Édouard Gilbert, Amaury Habrard, Faissal Ouardi, Marc Tommasi:
Relevant Representations for the Inference of Rational Stochastic Tree Languages. ICGI 2008: 57-70 - [i4]François Denis, Amaury Habrard, Rémi Gilleron, Marc Tommasi, Édouard Gilbert:
On Probability Distributions for Trees: Representations, Inference and Learning. CoRR abs/0807.2983 (2008) - 2007
- [c21]François Denis, Amaury Habrard:
Learning Rational Stochastic Tree Languages. ALT 2007: 242-256 - [c20]Christophe Nicolas Magnan, Cécile Capponi, François Denis:
A Protocol to Detect Local Affinities Involved in Proteins Distant Interactions. BIBM 2007: 252-257 - 2006
- [c19]François Denis, Yann Esposito, Amaury Habrard:
Learning Rational Stochastic Languages. COLT 2006: 274-288 - [c18]Amaury Habrard, François Denis, Yann Esposito:
Using Pseudo-stochastic Rational Languages in Probabilistic Grammatical Inference. ICGI 2006: 112-124 - [c17]François Denis, Christophe Nicolas Magnan, Liva Ralaivola:
Efficient learning of Naive Bayes classifiers under class-conditional classification noise. ICML 2006: 265-272 - [c16]Liva Ralaivola, François Denis, Christophe Nicolas Magnan:
CN = CPCN. ICML 2006: 721-728 - [i3]François Denis, Yann Esposito, Amaury Habrard:
Learning rational stochastic languages. CoRR abs/cs/0602062 (2006) - [i2]François Denis, Yann Esposito:
Rational stochastic languages. CoRR abs/cs/0602093 (2006) - [i1]Amaury Habrard, François Denis, Yann Esposito:
Using Pseudo-Stochastic Rational Languages in Probabilistic Grammatical Inference. CoRR abs/cs/0607085 (2006) - 2005
- [j9]Pierre Dupont, François Denis, Yann Esposito:
Links between probabilistic automata and hidden Markov models: probability distributions, learning models and induction algorithms. Pattern Recognit. 38(9): 1349-1371 (2005) - [j8]François Denis, Rémi Gilleron, Fabien Letouzey:
Learning from positive and unlabeled examples. Theor. Comput. Sci. 348(1): 70-83 (2005) - [e1]François Denis:
Actes de CAP 05, Conférence francophone sur l'apprentissage automatique - 2005, Nice, France, du 31 mai au 3 juin 2005. PUG 2005 [contents] - 2004
- [j7]François Denis, Aurélien Lemay, Alain Terlutte:
Learning regular languages using RFSAs. Theor. Comput. Sci. 313(2): 267-294 (2004) - [c15]François Denis, Yann Esposito:
Learning Classes of Probabilistic Automata. COLT 2004: 124-139 - 2003
- [j6]François Denis, Olivier Gascuel:
On the consistency of the minimum evolution principle of phylogenetic inference. Discret. Appl. Math. 127(1): 63-77 (2003) - [c14]François Denis, Yann Esposito:
Residual Languages and Probabilistic Automata. ICALP 2003: 452-463 - 2002
- [j5]François Denis, Aurélien Lemay, Alain Terlutte:
Residual Finite State Automata. Fundam. Informaticae 51(4): 339-368 (2002) - [c13]François Denis, Aurélien Lemay, Alain Terlutte:
Some Classes of Regular Languages Identifiable in the Limit from Positive Data. ICGI 2002: 63-76 - [c12]Yann Esposito, Aurélien Lemay, François Denis, Pierre Dupont:
Learning Probabilistic Residual Finite State Automata. ICGI 2002: 77-91 - 2001
- [j4]François Denis, Rémi Gilleron:
PAC Learning under Helpful Distributions. RAIRO Theor. Informatics Appl. 35(2): 129-148 (2001) - [j3]François Denis:
Learning Regular Languages from Simple Positive Examples. Mach. Learn. 44(1/2): 37-66 (2001) - [c11]François Denis, Aurélien Lemay, Alain Terlutte:
Learning Regular Languages Using RFSA. ALT 2001: 348-363 - [c10]François Denis, Aurélien Lemay, Alain Terlutte:
Residual Finite State Automata. STACS 2001: 144-157 - 2000
- [c9]Fabien Letouzey, François Denis, Rémi Gilleron:
Learning from Positive and Unlabeled Examples. ALT 2000: 71-85 - [c8]François Denis, Aurélien Lemay, Alain Terlutte:
Learning Regular Languages Using Non Deterministic Finite Automata. ICGI 2000: 39-50
1990 – 1999
- 1999
- [j2]François Denis:
Finding a Minimal 1-DNF Consistent with a Positive Sample is LOGSNP-Complete. Inf. Process. Lett. 69(1): 1-5 (1999) - [c7]Francesco De Comité, François Denis, Rémi Gilleron, Fabien Letouzey:
Positive and Unlabeled Examples Help Learning. ALT 1999: 219-230 - 1998
- [c6]François Denis:
PAC Learning from Positive Statistical Queries. ALT 1998: 112-126 - 1997
- [c5]François Denis, Rémi Gilleron:
PAC Learning under Helpful Distributions. ALT 1997: 132-145 - 1996
- [c4]François Denis, Cyrille D'Halluin, Rémi Gilleron:
PAC Learning with Simple Examples. STACS 1996: 231-242 - 1991
- [j1]François Denis, Jean-Paul Delahaye:
Is there an Axiomatic Semantics for Standard Pure Prolog. Theor. Comput. Sci. 82(2): 373-388 (1991) - [c3]François Denis, Jean-Paul Delahaye:
Unfolding, Procedural and Fixpoint Semantics of Logic Programs. JTASPEFT/WSA 1991: 157-164 - [c2]François Denis, Jean-Paul Delahaye:
Unfolding, Procedural and Fixpoint Semantics of Logic Programs. STACS 1991: 511-522 - 1990
- [c1]Jean-Paul Delahaye, François Denis:
Operational semantics of Standard Prolog: an axiomatic approach. SPLT 1990: 311-
Coauthor Index
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