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)



Field: Applied Mathematics, Computation and Simulation

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