2878 search results - page 68 / 576 » Learning the Common Structure of Data |
ICML
2010
IEEE
14 years 11 months ago
2010
IEEE
The structure of a Markov network is typically learned using top-down search. At each step, the search specializes a feature by conjoining it to the variable or feature that most ...
UAI
1998
14 years 11 months ago
1998
Dynamic probabilistic networks are a compact representation of complex stochastic processes. In this paper we examine how to learn the structure of a DPN from data. We extend stru...
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NCA
2011
IEEE
14 years 4 months ago
2011
IEEE
—Neural Networks have been an active research area for decades. However, privacy bothers many when the training dataset for the neural networks is distributed between two parties...
ECML
2007
Springer
15 years 4 months ago
2007
Springer
We discuss how to learn non-recursive directed probabilistic logical models from relational data. This problem has been tackled before by upgrading the structure-search algorithm i...
METMBS
2004
14 years 11 months ago
2004
In this thesis we compare several machine learning techniques for evaluating external skeletal fixation proposals. We experimented in the context of dog bone fractures but the pot...