702 search results - page 11 / 141 » Learning Probabilistic Models of Relational Structure |
128
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ILP
2007
Springer
15 years 6 months ago
2007
Springer
Statistical Relational Learning (SRL) combines the benefits of probabilistic machine learning approaches with complex, structured domains from Inductive Logic Programming (ILP). W...
120
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JAIR
2011
14 years 7 months ago
2011
Previous studies have demonstrated that encoding a Bayesian network into a SAT formula and then performing weighted model counting using a backtracking search algorithm can be an ...
100
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ICDM
2010
IEEE
14 years 10 months ago
2010
IEEE
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
130
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FCSC
2010
14 years 9 months ago
2010
Graphical models have become the basic framework for topic based probabilistic modeling. Especially models with latent variables have proved to be effective in capturing hidden str...
135
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Publication
We present an online learning approach for robustly combining unreliable
observations from a pedestrian detector to estimate the rough 3D scene geometry
from video sequences of a...