Project-Team Modal
Members
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography
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2016 Project-Team Activity Report
MODAL
MOdel for Data Analysis and Learning
Research centre: Lille - Nord Europe
In partnership with: CNRS, Université Lille 2, Université des sciences et technologies de Lille (Lille 1)
In collaboration with: Laboratoire Paul Painlevé (LPP)

Field: Applied Mathematics, Computation and Simulation
Theme: Optimization, machine learning and statistical methods
Keywords:
Computer Science and Digital Science:
  • 3.1.4. - Uncertain data
  • 3.2.3. - Inference
  • 3.3.2. - Data mining
  • 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
  • 5.2. - Data visualization
  • 6.2.3. - Probabilistic methods
  • 6.2.4. - Statistical methods
  • 6.3.3. - Data processing
  • 8.2. - Machine learning
Other Research Topics and Application Domains:
  • 1.1.6. - Genomics
  • 2.2.3. - Cancer
  • 9.4.5. - Data science
  • 9.5.3. - Economy, Finance
  • 9.5.5. - Sociology