824 search results - page 158 / 165 » Learning probabilistic logic models from probabilistic examp... |
162
Voted
EC
2006
15 years 3 months ago
2006
Learning Classifier Systems (LCSs), such as the accuracy-based XCS, evolve distributed problem solutions represented by a population of rules. During evolution, features are speci...
148
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CVPR
2004
IEEE
16 years 5 months ago
2004
IEEE
We pose the problem of 3D human tracking as one of inference in a graphical model. Unlike traditional kinematic tree representations, our model of the body is a collection of loos...
150
Voted
KDD
2009
ACM
16 years 4 months ago
2009
ACM
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
136
Voted
PDCAT
2005
Springer
15 years 9 months ago
2005
Springer
Recently a bulk of research [14, 5, 15, 9] has been done on the modelling of the smallworld phenomenon, which has been shown to be pervasive in social and nature networks, and eng...
128
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WWW
2009
ACM
16 years 4 months ago
2009
ACM
Discovering users' specific and implicit geographic intention in web search can greatly help satisfy users' information needs. We build a geo intent analysis system that...