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Improving accuracy and power with transfer learning using a meta-analytic dat...
International audience -
Developing fast machine learning techniques with applications to steganalysis...
Developing Fast Machine Learning Techniques with Applications to Steganalysis Problems, Dissertation for the obtention of the degree of Doctor of Science (D.Sc.) in Technology... -
Multi-task Regression using Minimal Penalties
International audience -
Distributed Learning in Hierarchical Networks
International audience -
Modéliser l'utilisateur pour la diffusion de l'information dans les réseaux s...
Numéro spécial sur "Systèmes d'information : impact des réseaux sociaux" -
Optimal Computational Trade-Off of Inexact Proximal Methods
In this paper, we investigate the trade-off between convergence rate and computational cost when minimizing a composite functional with proximal-gradient methods,... -
Networks of Neural Cliques
We propose and develop an original model of associative memories relying on coded neural networks. Associative memories are devices able to learn messages then to... -
Hybrid-epsilon-greedy for mobile context-aware recommender system
International audience -
Graph Based Classification of Content and Users in BitTorrent
International audience -
Managing advertising campaigns -- an approximate planning approach
International audience -
ICML Exploration & Exploitation challenge: Keep it simple!
International audience -
Machine learning methods for discrete multi-scale fows : application to finance
This research work studies the problem of identifying and predicting the trends of a single financial target variable in a multivariate setting. The machine learning... -
Energy Demand Prediction in a Charge Station: A Comparison of Statistical Lea...
International audience -
Special Tactics: a Bayesian Approach to Tactical Decision-making
International audience -
A Bayesian Tactician
International audience -
A Dataset for StarCraft AI & an Example of Armies Clustering
International audience -
A Comparative Study of Algorithms for Intra- and Inter-subjects fMRI Decoding
International audience -
An iterative approach to build relevant ontology-aware data-driven models
knowledge integration
