824 search results - page 104 / 165 » Learning probabilistic logic models from probabilistic examp... |
121
Voted
CVPR
2004
IEEE
16 years 5 months ago
2004
IEEE
Bayesian methods for visual tracking model the likelihood of image measurements conditioned on a tracking hypothesis. Image measurements may, for example, correspond to various fi...
178
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MMAS
2011
Springer
14 years 10 months ago
2011
Springer
While existing mathematical descriptions can accurately account for phenomena at microscopic scales (e.g. molecular dynamics), these are often high-dimensional, stochastic and thei...
124
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EUROCOLT
1999
Springer
15 years 8 months ago
1999
Springer
The present paper motivates the study of mind change complexity for learning minimal models of length-bounded logic programs. It establishes ordinal mind change complexity bounds ...
143
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ICCV
2005
IEEE
15 years 9 months ago
2005
IEEE
We address the problem of learning object class models and object segmentations from unannotated images. We introduce LOCUS (Learning Object Classes with Unsupervised Segmentation...
140
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ICMLA
2008
15 years 5 months ago
2008
In this work, a new learning paradigm called target selection is proposed, which can be used to test for associations between a single genetic variable and a multidimensional, qua...