831 search results - page 72 / 167 » Unsupervised Learning of Dependency Structure for Language M... |
117
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LREC
2010
15 years 4 months ago
2010
Automatically translating natural language into machine-readable instructions is one of major interesting and challenging tasks in Natural Language (NL) Processing. This problem c...
130
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CORR
2008
Springer
15 years 3 months ago
2008
Springer
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
158
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KDD
2010
ACM
15 years 7 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
136
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NIPS
2000
15 years 4 months ago
2000
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. As s...
132
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IJCNN
2006
IEEE
15 years 9 months ago
2006
IEEE
— The number of XML documents produced and available on the Internet is steadily increasing. It is thus important to devise automatic procedures to extract useful information fro...