Inria
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Raweb 2010
Presentation of the Project classic
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Computational Learning, Aggregation, Supervised Statistical, Inference, and Classification
2010 Research Team Activity Report
Paris - Rocquencourt
Field :
Applied Mathematics, Computation and Simulation
Theme : Optimization, Learning and Statistical Methods
Presentation of the Project-Team
- Activity Report in
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Members
Overall Objectives
Scientific Foundations
Regression models of supervised learning
On-line aggregation of predictors for the prediction of time series, with or without stationarity assumptions
Sparsity and
1
–regularization
Multi-armed bandit problems
Applications to the theory of repeated games
Application Domains
Forecasting of the electricity consumption
Forecasting of the air quality
Management of the supply chain
Computational linguistics
Statistical inference on genomic data
New Results
Contributions earlier to 2010 but only published in 2010
Supervised statistical inference: regression and classification
Sparse regression estimation
Advances in the application of individual sequences to operational forecasting
On-line aggregation of predictors for the prediction of time series
Calibrated forecasts
Contracts and Grants with Industry
Contracts with Industry
Other Grants and Activities
National Initiatives
European Initiatives
International Initiatives
Dissemination
Doctoral studies
Invited conferences
Editorial responsibilities
Animation of the scientific community
Teaching
Bibliography
Major publications
Publications of the year