Bontempi, Gianluca - Département d'Informatique, Université Libre de Bruxelles

• Statistical foundations of machine learning Gianluca Bontempi
• Modeles stochastiques 2 TP 1: introduction a R
• Quick Reference Getting Started
• INFO-F-205: Calcul formel et numrique Quelques exemples de question orale
• 2 avril 2004 1 Introduction
• Machine learning for inferring networks from data
• INFO-F-205: Calcul formel et numrique TP 9: Rsolution de systmes linaires
• Statistical foundations of machine Gianluca Bontempi
• Statistical foundations of machine Gianluca Bontempi
• A Qualitative Simulation Approach for Fuzzy Dynamical Models
• A model selection approach for local learning Gianluca Bontempi, Mauro Birattari and
• Time series prediction Multiple output modeling
• Lazy learning indirect control for discrete-time non-linear systems Gianluca Bontempi, Mauro Birattari
• Data mining for prediction Prof. Gianluca Bontempi
• Calcul formel et numrique G. Bontempi
• A Practical Introduction to Matlab Mark S. Gockenbach
• Modlisation et Simulation G. Bontempi
• Modlisation et Simulation G. Bontempi
• Statistical foundations of machine Gianluca Bontempi
• Statistical foundations of machine Gianluca Bontempi
• Statistical foundations of machine Gianluca Bontempi
• Mthodes stochastiques pour l'apprentissage automatique
• Statistical foundations of machine Gianluca Bontempi
• Resampling techniques for statistical Gianluca Bontempi
• Model combination The winner-takes-all approach is intuitively the approach which
• Modles stochastiques II Gianluca Bontempi
• Mod`eles stochastiques 2 TP 1: introduction `a R
• Mod`eles stochastiques II TP 2: probabilites et statistiques descriptives en R
• Resampling techniques for statistical Gianluca Bontempi
• Data Analysis and modeling methods DEA BIOINFO
• INFO-F-305: Modlisation et simulation premire session 2009-2010
• INFO-F-205: Calcul formel et numrique Premire session: 2009-10
• Methodes stochastiques pour l'apprentissage automatique
• An adaptive modular approach to the mining of sensor network data. Gianluca Bontempi, Yann-Ael Le Borgne
• Local methods for nonlinear control: a survey Gianluca Bontempi
• Mthodes stochastiques pour l'apprentissage automatique
• Analysis of genomic and proteomic DEA BIOINFO
• INFO-F-205: Calcul formel et numrique TP 6: Rsolution de systmes linaires
• Some main actors of data mining in Belgium
• HOW TO ALLOCATE A RESTRICTED BUDGET OF LEAVE-ONE-OUT ASSESSMENTS FOR EFFECTIVE MODEL
• Modlisation et Simulation G. Bontempi
• Resampling techniques for statistical Gianluca Bontempi
• Info-F-205 : Solutions TP9 Rsolution des systmes linaires avec matlab
• Modles stochastiques II Gianluca Bontempi
• Examples of model selection problems What is the best order of my polynomial model?
• Resampling techniques for statistical Gianluca Bontempi
• Modles stochastiques II Gianluca Bontempi
• Boosting methods Boosting is one of the most powerful learning ideas introduced in
• Methodes stochastiques pour l'apprentissage automatique
• Mthodes d'apprentissage automatique pour la bioinformatique
• On the use of feature selection to deal with the curse of dimensionality in
• Info-F-205 : Solutions TP1 Introduction
• Bandwidth selection for multiple-step-ahead time series prediction : beyond cross-validation
• Feature selection methods for mining bioinformatics data