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2017 Project-Team Activity Report
SELECT
Model selection in statistical learning
Research centre:
Saclay - Île-de-France
In partnership with: CNRS, Université Paris-Sud (Paris 11)
In collaboration with: Laboratoire de mathématiques d'Orsay de l'Université de Paris-Sud (LMO)
In collaboration with: Laboratoire de mathématiques d'Orsay de l'Université de Paris-Sud (LMO)
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:
- A3.1.1. - Modeling, representation
- A3.1.8. - Big data (production, storage, transfer)
- A3.2.2. - Knowledge extraction, cleaning
- A3.3.2. - Data mining
- A3.3.3. - Big data analysis
- A3.4.1. - Supervised learning
- A3.4.2. - Unsupervised learning
- A3.4.3. - Reinforcement learning
- A3.4.4. - Optimization and learning
- A3.4.5. - Bayesian methods
- A3.4.6. - Neural networks
- A3.4.7. - Kernel methods
- A3.4.8. - Deep learning
- A5.3.3. - Pattern recognition
- A6.2.4. - Statistical methods
- A6.2.6. - Optimization
Other Research Topics and Application Domains:
- B1.1.5. - Genetics
- B1.1.6. - Genomics
- B1.1.9. - Bioinformatics
- B1.1.10. - Mathematical biology
- B9.4.2. - Mathematics