890 search results - page 41 / 178 » Learning a Generative Model for Structural Representations |
106
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NECO
2008
14 years 11 months ago
2008
Deep Belief Networks (DBN) are generative neural network models with many layers of hidden explanatory factors, recently introduced by Hinton et al., along with a greedy layer-wis...
IJCAI
2007
15 years 1 months ago
2007
We present a fully connectionist system for the learning of first-order logic programs and the generation of corresponding models: Given a program and a set of training examples,...
CGF
2004
14 years 11 months ago
2004
In the paper, a new method for modelling trees at medium detail is presented. The method is based on a volumetric representation of trees, generated by an iterated function system...
111
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ICPR
2002
IEEE
16 years 26 days ago
2002
IEEE
Bayesian networks are an attractive modeling tool for human sensing, as they combine an intuitive graphical representation with ef?cient algorithms for inference and learning. Ear...
104
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PERCOM
2007
ACM
15 years 11 months ago
2007
ACM
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...