163 search results - page 1 / 33 » Optimal Nonlinear Prediction of Random Fields on Networks |
DMCS
2003
13 years 6 months ago
2003
JMLR
2010
12 years 11 months ago
2010
We propose a non-linear graphical model for structured prediction. It combines the power of deep neural networks to extract high level features with the graphical framework of Mar...
KDD
2009
ACM
14 years 5 months ago
2009
ACM
Conditional random fields(CRFs) are a class of undirected graphical models which have been widely used for classifying and labeling sequence data. The training of CRFs is typicall...
ECAI
2010
Springer
13 years 2 months ago
2010
Springer
Conditional random fields (CRF) are widely used for predicting output variables that have some internal structure. Most of the CRF research has been done on structured classificati...
CIKM
2009
Springer
13 years 11 months ago
2009
Springer
This paper addresses the issue of social recommendation based on collaborative filtering (CF) algorithms. Social recommendation emphasizes utilizing various attributes informatio...