462 citations
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18 papers · 1 filter
An Empirical Comparison of V-fold Penalisation and Cross Validation for Model Selection in Distribution-Free Regression
Charanpal Dhanjal, Nicolas Baskiotis, Stéphan Clémençon +1
Model selection is a crucial issue in machine-learning and a wide variety of penalisation methods (with possibly data dependent complexity penalties) have recently been introduced…
Dynamic recommender system : using cluster-based biases to improve the accuracy of the predictions
Modou Gueye, Talel Abdessalem, Hubert Naacke
It is today accepted that matrix factorization models allow a high quality of rating prediction in recommender systems. However, a major drawback of matrix factorization is its sta…
Dissemination of Health Information within Social Networks
Charanpal Dhanjal, Sandrine Blanchemanche, Stéphan Clémençon +2
In this paper, we investigate, how information about a common food born health hazard, known as Campylobacter, spreads once it was delivered to a random sample of individuals in Fr…
Ergodicity of observation-driven time series models and consistency of the maximum likelihood estimator
Randal Douc, Paul Doukhan, Eric Moulines
This paper deals with a general class of observation-driven time series models with a special focus on time series of counts. We provide conditions under which there exist strict-s…
Visual Mining of Epidemic Networks
Stéphan Clémençon, Hector De Arazoza, Fabrice Rossi +1
We show how an interactive graph visualization method based on maximal modularity clustering can be used to explore a large epidemic network. The visual representation is used to d…
Hierarchical clustering for graph visualization
Stéphan Clémençon, Hector De Arazoza, Fabrice Rossi +1
This paper describes a graph visualization methodology based on hierarchical maximal modularity clustering, with interactive and significant coarsening and refining possibilities.…