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2019 Project-Team Activity Report
SEQUEL
Sequential Learning
Research centre: Lille - Nord Europe
In partnership with: Université 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
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
  • A3.4.5. - Bayesian methods
  • A3.4.6. - Neural networks
  • A3.4.8. - Deep learning
  • A3.5.2. - Recommendation systems
  • A5.1. - Human-Computer Interaction
  • A5.10.7. - Learning
  • 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:
  • B2. - Health
  • B3.1. - Sustainable development
  • B3.5. - Agronomy
  • B4.4. - Energy delivery
  • B4.4.1. - Smart grids
  • B5.8. - Learning and training
  • B7.2.1. - Smart vehicles
  • B9.1.1. - E-learning, MOOC
  • B9.5. - Sciences
  • B9.5.6. - Data science