8970 search results - page 217 / 1794 » Learning to Learn Causal Models |
283
click to vote
ACL
1998
15 years 6 months ago
1998
This paper proposes a learning method of translation rules from parallel corpora. This method applies the maximum entropy principle to a probabilistic model of translation rules. ...
141
Voted
NN
2006
Springer
15 years 4 months ago
2006
Springer
The paper presents machine learning (ML) models that predict sedimentation in the harbour basin of the Port of Rotterdam. The important factors affecting the sedimentation process...
144
click to vote
ICCV
2009
IEEE
16 years 10 months ago
2009
IEEE
Image auto-annotation is an important open problem in
computer vision. For this task we propose TagProp, a discriminatively
trained nearest neighbor model. Tags of test
images a...
128
click to vote
CEAS
2007
Springer
15 years 11 months ago
2007
Springer
We propose a discriminative classifier learning approach to image modeling for spam image identification. We analyze a large number of images extracted from the SpamArchive spam c...
134
click to vote
NIPS
2008
15 years 6 months ago
2008
Polysemy is a problem for methods that exploit image search engines to build object category models. Existing unsupervised approaches do not take word sense into consideration. We...