702 search results - page 46 / 141 » Learning Probabilistic Models of Relational Structure |
132
Voted
EMNLP
2011
14 years 7 days ago
2011
We propose a general method to watermark and probabilistically identify the structured outputs of machine learning algorithms. Our method is robust to local editing operations and...
100
Voted
SDM
2010
SIAM
15 years 1 months ago
2010
SIAM
Real-world relational data are seldom stationary, yet traditional collaborative filtering algorithms generally rely on this assumption. Motivated by our sales prediction problem, ...
129
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TMM
2010
14 years 7 months ago
2010
Abstract--With the increased presence of digital imaging devices, there also came an explosion in the amount of multimedia content available online. Users have transformed from pas...
106
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NN
1997
Springer
15 years 4 months ago
1997
Springer
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
126
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PRL
2011
14 years 7 months ago
2011
: This paper addresses the inference of probabilistic classification models using weakly supervised learning. The main contribution of this work is the development of learning meth...