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4 papers · 2 filters
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…
A Discussion on Parallelization Schemes for Stochastic Vector Quantization Algorithms
Matthieu Durut, Benoît Patra, Fabrice Rossi
This paper studies parallelization schemes for stochastic Vector Quantization algorithms in order to obtain time speed-ups using distributed resources. We show that the most intuit…
Modularity-Based Clustering for Network-Constrained Trajectories
Mohamed Khalil El Mahrsi, Fabrice Rossi
We present a novel clustering approach for moving object trajectories that are constrained by an underlying road network. The approach builds a similarity graph based on these traj…
Constrained variable clustering and the best basis problem in functional data analysis
Fabrice Rossi, Yves Lechevallier
Functional data analysis involves data described by regular functions rather than by a finite number of real valued variables. While some robust data analysis methods can be applie…