220 search results - page 28 / 44 » Learning probabilistic decision graphs |
DSS
2011
12 years 11 months ago
2011
Abstract: Much has been written about word of mouth and customer behavior. Telephone call detail records provide a novel way to understand the strength of the relationship between ...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
We present a random field based model for stereo vision with explicit occlusion labeling in a probabilistic framework. The model employs non-parametric cost functions that can be ...
FLAIRS
2010
13 years 9 months ago
2010
Nowadays, graph-based knowledge discovery algorithms do not consider numeric attributes (they are discarded in the preprocessing step, or they are treated as alphanumeric values w...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
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RECOMB
2005
Springer
14 years 7 months ago
2005
Springer
Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...