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2017 Project-Team Activity Report
SEQUEL
Sequential Learning
Research centre:
Lille - Nord Europe
In partnership with: Université Charles de Gaulle (Lille 3), Université des sciences et technologies de Lille (Lille 1)
In collaboration with: Centre de Recherche en Informatique, Signal et Automatique de Lille
In collaboration with: Centre de Recherche en Informatique, Signal et Automatique de Lille
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. - Data and knowledge
- A3.1. - Data
- A3.1.1. - Modeling, representation
- A3.1.4. - Uncertain data
- A3.3. - Data and knowledge analysis
- A3.3.1. - On-line analytical processing
- A3.3.2. - Data mining
- A3.3.3. - Big data analysis
- A3.4. - Machine learning and statistics
- A3.4.1. - Supervised learning
- A3.4.2. - Unsupervised learning
- A3.4.3. - Reinforcement learning
- A3.4.4. - Optimization and learning
- A3.4.6. - Neural networks
- A3.4.8. - Deep learning
- A3.5.2. - Recommendation systems
- A5.1. - Human-Computer Interaction
- A9. - Artificial intelligence
- A9.2. - Machine learning
- A9.3. - Signal analysis
- A9.4. - Natural language processing
- A9.7. - AI algorithmics
Other Research Topics and Application Domains:
- B5.8. - Learning and training
- B6.1. - Software industry
- B7.2.1. - Smart vehicles
- B9.1.1. - E-learning, MOOC
- B9.4. - Sciences
- B9.4.5. - Data science