1531 search results - page 100 / 307 » Learning probabilistic models of the Web |
202
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UAI
1998
15 years 7 months ago
1998
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...
173
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ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
This paper introduces two new methods for label ranking based on a probabilistic model of ranking data, called the Plackett-Luce model. The idea of the first method is to use the ...
193
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NLPRS
2001
Springer
15 years 10 months ago
2001
Springer
We describe a new tagging model where the states of a hidden Markov model (HMM) estimated by unsupervised learning are incorporated as the features in a maximum entropy model. Our...
140
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ECML
2006
Springer
15 years 10 months ago
2006
Springer
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
195
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CORR
2011
Springer
15 years 1 months ago
2011
Springer
A plausible definition of "reasoning" could be "algebraically manipulating previously acquired knowledge in order to answer a new question". This definition co...