2185 search results - page 25 / 437 » Active Learning with Statistical Models |
134
Voted
JMLR
2010
14 years 8 months ago
2010
The problems of dimension reduction and inference of statistical dependence are addressed by the modeling framework of learning gradients. The models we propose hold for Euclidean...
182
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JMLR
2012
13 years 4 months ago
2012
Models such as pairwise conditional random fields (CRFs) are extremely popular in computer vision and various other machine learning disciplines. However, they have limited expre...
121
Voted
ATAL
2008
Springer
15 years 3 months ago
2008
Springer
We address the learning of trust based on past observations and context information. We argue that from the truster's point of view trust is best expressed as one of several ...
128
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NIPS
2000
15 years 3 months ago
2000
People can understand complex auditory and visual information, often using one to disambiguate the other. Automated analysis, even at a lowlevel, faces severe challenges, includin...
99
Voted
IJON
2002
15 years 1 months ago
2002
We consider the origin of the high-dimensional input space as a variable which can be optimized before or during neuronal learning. This set of variables acts as a translation on ...