paper-conference

Fast Instantiation of GGP Game Descriptions Using Prolog with Tabling
We present a method to instantiate game descriptions used in General Game Playing with a Prolog interpreter using tabling. …
Jean-Noël Vittaut, Jean Méhat
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Online Adjustment of Tree Search for GGP
We present an adaptive method that enables a General Game Player using Monte-Carlo Tree Search to adapt its use of RAVE to the game it …
Jean Méhat, Jean-Noël Vittaut
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Segmented Images Colorization Using Harmony
In the colorization process, artists fill image’s regions with colors following harmony rules. Some region colorizations are more …
Catherine Sauvaget, Stéphane Manuel, Jean-Noël Vittaut, Jordane Suarez, Vincent Boyer
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Supervised and Semi-supervised Machine Learning Ranking
We present a Semi-supervised Machine Learning based ranking model which can automatically learn its parameters using a training set of …
Jean-Noël Vittaut, Patrick Gallinari
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Machine Learning Ranking for Structured Information Retrieval
We consider the Structured Information Retrieval task which consists in ranking nested textual units according to their relevance for a …
Jean-Noël Vittaut, Patrick Gallinari
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Apprentissage d'ordonnancements en recherche d'information structurée
Nous présentons un modèle d’apprentissage pour la Recherche d’Information Structurée qui ajuste automatiquement ses …
Jean-Noël Vittaut, Patrick Gallinari
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Machine Learning Ranking and INEX'05
We present a Machine Learning based ranking model which can automatically learn its parameters using a training set of annotated …
Jean-Noël Vittaut, Patrick Gallinari
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An Algebra for Structured Queries in Bayesian Networks
We present a system based on a Bayesian Network formalism for structured documents retrieval. The parameters of this model are learned …
Jean-Noël Vittaut, Benjamin Piwowarski, Patrick Gallinari
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Structured Multimedia Document Classification
We propose a new statistical model for the classification of structured documents and consider its use for multimedia document …
Ludovic Denoyer, Jean-Noël Vittaut, Patrick Gallinari, Sylvie Brunessaux, Stephan Brunessaux
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Learning Classification with Both Labeled and Unlabeled Data
A key difficulty for applying machine learning classification algorithms for many applications is that they require a lot of …
Jean-Noël Vittaut, Massih-Reza Amini, Patrick Gallinari
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