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Hybridation of Bayesian networks and evolutionary algorithms for multi-object...
International audience -
Increasing Air Traffic: What is the Problem?
International audience -
Automatic dialog acts recognition based on sentence structure
This paper deals with automatic dialog acts (DAs) recognition in Czech. Our work focuses on two applications: a multimodal reservation system and an animated talking... -
Towards Bayesian Network Methodology for Predicting the Equipment Health Fact...
International audience -
Dbn-based combinatorial resampling for articulated object tracking
International audience -
Swapping-Based Partitioned Sampling for better complex density estimation: ap...
International audience -
A phylogenetic view of the modular evolution of proteins
The diversity of life derives mostly from the variety of proteins coded in genomes. How did evolution produce such a tremendous diversity ? The classical theory... -
Multi-agent system for multi-disciplinary diagnostic
Sharing opinions among different participants is a useful and common way to build a constructive argumentation in order to solve complex problems that require the... -
Control allocation using reliability measures for over-actuated systems
International audience -
Learning Parameters for a Knowledge Diagnostic Tools in Orthopedic Surgery
ISBN: 978-90-386-2537-9 - www.educationaldatamining.org - Posters -
Diagnostic des connaissances et rétroaction épistémique adaptative en chirurgie
Titre du volume: INTELLIGENCE ARTIFICIELLE ET SANTÉ - Vers quelles applications en médecine ? -
Material Needs Forecast for Product Lines, a Bayesian-based Analysis Approach
Among the many product line analysis operations, the computation of material needs for the production of reusable components is one of the most challenging issues.... -
Towards an Integral Approach for Modeling Causality
From conventional observation data , it is rarely possible to determine a fully causal Bayesian network. The theoretical point at which we are interested is learning... -
Forests of latent tree models to decipher genotype-phenotype associations
International audience -
Modeling of genotype data with forests of latent trees to detect genetic caus...
Ado2013 (Machine Learning and Omics Data), workshop de Cap2013 (Conf erence francophone sur l'Apprentissage Automatique, plate-forme PFIA)), Lille, 1 juillet, 6 pages -
Hierarchical Bayesian networks applied to association genetics
MODGRAPH 2010 (Mod èles graphiques probabilistes pour l'int égration de donn ées h ét érog ènes et la d écouverte de mod èles causaux en biologie), Journ ée satellite de JOBIM... -
New parametrisation of Bayesian networks and their implicit estimation - Natu...
Learning a Bayesian network consists in estimating the graph (structure) and the parameters of conditional probability distributions associated with this graph.... -
A macro-DAG structure based mixture model
In the context of unsupervised classification of multidimensional data, we revisit the classical mixture model in the case where the dependencies among the random... -
Validation, synthesis, and settings of cognitive maps
A cognitive map is a graphical model that represents influences between concepts. This model is used in decision-making. It provides an operation, called propagated... -
Online Inference for Adaptive Diagnosis via Arithmetic Circuit Compilation of...
International audience
