7928 search results - page 360 / 1586 » Human-Like Learning Methods for a |
184
click to vote
KBS
2006
15 years 6 months ago
2006
Ensemble methods that train multiple learners and then combine their predictions have been shown to be very effective in supervised learning. This paper explores ensemble methods ...
218
click to vote
SIGIR
2011
ACM
14 years 9 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 ...
194
click to vote
AAAI
2011
14 years 6 months ago
2011
Important ecological phenomena are often observed indirectly. Consequently, probabilistic latent variable models provide an important tool, because they can include explicit model...
157
click to vote
ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
This work proposes a learning method for deep architectures that takes advantage of sequential data, in particular from the temporal coherence that naturally exists in unlabeled v...
162
click to vote
ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
We investigate using gradient descent methods for learning ranking functions; we propose a simple probabilistic cost function, and we introduce RankNet, an implementation of these...