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Section: New Software and Platforms
PACBayesianNMF
Keywords: Statistics - Machine learning
Functional Description: Implementing NMF with a PAC-Bayesian approach relying upon block gradient descent
Research Program
Application Domains
New Software and Platforms
New Results
- An Oracle Inequality for Quasi-Bayesian Non-Negative Matrix Factorization
- Simpler PAC-Bayesian Bounds for Hostile Data
- Highlight 1 High-dimensional Adaptive Ranking with PAC-Bayesian Bounds
- Online Adaptive Clustering
- Study of Transcriptional Regulation
- Functional Binary Linear Models for Stratified Samples
- Mixture Model for Mixed Kind of Data
- Data Units Selection in Statistics
- Trade-off Between Computation Time and Accuracy
- Projection Under Pairwise Control
- Real-time Audio Sources Classification
- Model-Based Co-clustering for Ordinal Data
- Model-Based Co-clustering for Ordinal Data of different dimensions
- MASSICCC Platform for SaaS Software Availability
- Model-Based Co-Clustering of Multivariate Functional Data
- Reject Inference Methods in Credit Scoring: A Rational Review
- Survival Analysis with Complex Covariates: A Model-based Clustering Preprocessing Step
- Dealing with Missing Data Through Mixture Models
- Review on Mixture Modeling and High-dimensional Clustering
- Dealing with Missing Not at Random Values in Model-based Clustering
- Dealing with Several Cluster Variables
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Bibliography