Project-Team Modal
Team, Visitors, External Collaborators
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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2019 Project-Team Activity Report
MODAL
MOdel for Data Analysis and Learning
Research centre: Lille - Nord Europe
In partnership with: CNRS, Université de Lille
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:
  • A3.1.4. - Uncertain data
  • A3.2.3. - Inference
  • A3.3.2. - Data mining
  • A3.3.3. - Big data analysis
  • A3.4.1. - Supervised learning
  • A3.4.2. - Unsupervised learning
  • A3.4.5. - Bayesian methods
  • A3.4.7. - Kernel methods
  • A5.2. - Data visualization
  • A6.2.3. - Probabilistic methods
  • A6.2.4. - Statistical methods
  • A6.3.3. - Data processing
  • A9.2. - Machine learning
Other Research Topics and Application Domains:
  • B2.2.3. - Cancer
  • B9.5.6. - Data science
  • B9.6.3. - Economy, Finance
  • B9.6.5. - Sociology