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2016 Project-Team Activity Report
MISTIS
Modelling and Inference of Complex and Structured Stochastic Systems
Research centre:
Grenoble - Rhône-Alpes
In partnership with: Institut polytechnique de Grenoble, Université Grenoble Alpes
In collaboration with: Laboratoire Jean Kuntzmann (LJK)
In collaboration with: Laboratoire Jean Kuntzmann (LJK)
Field: Applied Mathematics, Computation and Simulation
Theme: Optimization, machine learning and statistical methods
Theme: Optimization, machine learning and statistical methods
Keywords:
Computer Science and Digital Science:
- 3.1.1. - Modeling, representation
- 3.1.4. - Uncertain data
- 3.3.3. - Big data analysis
- 3.4.1. - Supervised learning
- 3.4.2. - Unsupervised learning
- 3.4.5. - Bayesian methods
- 3.4.7. - Kernel methods
- 6.1. - Mathematical Modeling
- 8.2. - Machine learning
- 8.3. - Signal analysis
Other Research Topics and Application Domains:
- 1.3.1. - Understanding and simulation of the brain and the nervous system
- 2.6.1. - Brain imaging
- 3.4.1. - Natural risks
- 3.4.2. - Industrial risks and waste
- 9.9.1. - Environmental risks