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2016 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:
- 3. - Data and knowledge
- 3.1. - Data
- 3.1.1. - Modeling, representation
- 3.1.4. - Uncertain data
- 3.3. - Data and knowledge analysis
- 3.3.1. - On-line analytical processing
- 3.3.2. - Data mining
- 3.3.3. - Big data analysis
- 3.4. - Machine learning and statistics
- 3.4.1. - Supervised learning
- 3.4.2. - Unsupervised learning
- 3.4.3. - Reinforcement learning
- 3.4.4. - Optimization and learning
- 3.4.6. - Neural networks
- 3.4.8. - Deep learning
- 3.5.2. - Recommendation systems
- 4.8. - Privacy-enhancing technologies
- 5.1. - Human-Computer Interaction
- 8. - Artificial intelligence
- 8.2. - Machine learning
- 8.3. - Signal analysis
- 8.7. - AI algorithmics
Other Research Topics and Application Domains:
- 5.8. - Learning and training
- 6.1. - Software industry
- 6.1.1. - Software engineering
- 6.1.2. - Software evolution, maintenance
- 9.1.1. - E-learning, MOOC
- 9.4. - Sciences
- 9.4.5. - Data science