167 search results - page 1 / 34 » DiFacto: Distributed Factorization Machines |
ECML
2003
Springer
13 years 10 months ago
2003
Springer
CVPR
2010
IEEE
13 years 5 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
14 years 5 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
12 years 7 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
13 years 6 months 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...