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2017 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)
In collaboration with: Laboratoire Paul Painlevé (LPP)
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:
- 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:
- B1.1.6. - Genomics
- B2.2.3. - Cancer
- B9.4.5. - Data science
- B9.5.3. - Economy, Finance
- B9.5.5. - Sociology