Inria
/
Raweb 2009
Presentation of the Project mistis
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mistis
Modelling and Inference of Complex and Structured Stochastic Systems
2009 Research Team Activity Report
Grenoble - Rhône-Alpes
Area :
Applied Mathematics, Computation and Simulation
Theme : Optimization, Learning and Statistical Methods
Presentation of the Project-Team
- Activity Report in
PDF
or
XML
format
Members
Overall Objectives
Introduction
Highlights
Scientific Foundations
Mixture models
Markov models
Functional Inference, semi and non-parametric methods
Application Domains
Image Analysis
Biology, Environment and Medicine
Reliability
Software
The HDDA and HDDC toolboxes
The Extremes freeware
The SpaCEM
3
program
The FASTRUCT software
The TESS software
New Results
Mixture models
Markov models
Semi and non-parametric methods
Contracts and Grants with Industry
Contracts
Other Grants and Activities
National Actions
National initiatives
International initiatives
Dissemination
Leadership within scientific community
Actions Funded by the EC
Teaching
Bibliography
Major publications
Publications of the year
References in notes