Project-Team Sequel
Team, Visitors, External Collaborators
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography
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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