167 search results - page 1 / 34 » DiFacto: Distributed Factorization Machines |
ECML
2003
Springer
15 years 4 months ago
2003
Springer
CVPR
2010
IEEE
14 years 11 months ago
2010
IEEE
Learning a generative model of natural images is a useful way of extracting features that capture interesting regularities. Previous work on learning such models has focused on me...
ICML
2009
IEEE
15 years 11 months ago
2009
IEEE
The Conditional Restricted Boltzmann Machine (CRBM) is a recently proposed model for time series that has a rich, distributed hidden state and permits simple, exact inference. We ...
SIGIR
2011
ACM
14 years 1 months ago
2011
ACM
The situation in which a choice is made is an important information for recommender systems. Context-aware recommenders take this information into account to make predictions. So ...
ESANN
2007
15 years 5 days ago
2007
A new efficient unsupervised feature selection method is proposed to handle transactional data. The proposed feature selection method introduces a new Data Distribution Factor (DDF...