PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Amaury Habrard

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Number of EPrints submitted by this user: 12

Detecting Irrelevant Subtrees to Improve Probabilistic Learning from Tree-structured Data
Amaury Habrard, Marc Bernard and Marc Sebban
fundamenta informaticae Volume 66, Number 1-2, pp. 103-130, 2005.

Correction of Uniformly Noisy Distributions to Improve Probabilistic Grammatical Inference Algorithms
Amaury Habrard, Marc Bernard and Marc Sebban
In: FLAIRS 2005, 16-18 May 2005, USA.

Models and Techniques in Probabilistic Grammatical Inference: Dealing with Noisy Data and Knowledge Discovery
Amaury Habrard
(2004) PhD thesis, University of Saint-Etienne.

A Polynomial Algorithm for the Inference of Context Free Languages
Alexander Clark, Rémi Eyraud and Amaury Habrard
In: 9th International Colloquium on Grammatical Inference (ICGI 2008), Saint Malo, France(2008).

A note on contextual binary feature grammars
Alexander Clark, Rémi Eyraud and Amaury Habrard
In: EACL 2009 workshop on Computational Linguistic Aspects of Grammatical Inference, Greece(2009).

Relevant Representations for the Inference of Rational Stochastic Tree Languages
François Denis, Edouard Gilbert, Amaury Habrard, Faissal Ouardi and Marc Tommasi
In: 9th International Colloquium on Grammatical Inference (ICGI 2008), Saint Malo, France(2008).

Spring school in machine learning: teaching experiences
Cécile Capponi, François Denis, Rémi Eyraud, Amaury Habrard and Liva Ralaivola
In: Teaching Machine Learning Workshop, 2008, 6-7 May 2008, Saint-Etienne, France.

Using PCA for Probabilistic Grammatical Inference on Trees
François Denis, Raphael Bailly, Edouard Gilbert and Amaury Habrard
In: NIPS 2009 workshop on Grammar Induction, Representation of Language and Language Learning, Whistler, Canada(2009).

A Spectral Approach for Probabilistic Grammatical Inference on Trees
Raphael Bailly, Amaury Habrard and François Denis
In: The 20th International Conference on Algorithmic Learning Theory - ALT 2010, 6-8 Oct 2010, Canberra, Australia.

Learning structured models for string and tree structured data
Amaury Habrard
(2010) Other thesis, Aix-Marseille University (Université de Provence).

Good edit similarity learning by loss minimization
Aurélien Bellet, Amaury Habrard and Marc Sebban
Machine Learning Volume 89, Number 1-2, pp. 5-35, 2012.

Similarity Learning for Provably Accurate Sparse Linear Classification.
Aurélien Bellet, Amaury Habrard and Marc Sebban
In: Internation Conference on Machine Learning (ICML 2012)(2012).