2615 search results - page 235 / 523 » Predictive Hebbian Learning |
166
Voted
CVPR
2011
IEEE
15 years 11 days ago
2011
IEEE
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
179
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JMLR
2012
13 years 6 months ago
2012
We propose a new family of latent variable models called max-margin min-entropy (m3e) models, which define a distribution over the output and the hidden variables conditioned on ...
151
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ACL
2012
13 years 6 months ago
2012
This paper presents a novel sequence labeling model based on the latent-variable semiMarkov conditional random fields for jointly extracting argument roles of events from texts. ...
125
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ICML
2002
IEEE
16 years 4 months ago
2002
IEEE
Classification of email is an important everyday task for a large and growing number of users. This paper describes the machine learning approaches underlying the i-ems (Intellige...
142
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KDD
1998
ACM
15 years 8 months ago
1998
ACM
This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...