311 search results - page 18 / 63 » Learning first-order probabilistic models with combining rul... |
SEMCO
2007
IEEE
15 years 6 months ago
2007
IEEE
Many recent advances in complex domains such as Natural Language Processing (NLP) have taken a discriminative approach in conjunction with the global application of structural and...
NLPRS
2001
Springer
15 years 4 months ago
2001
Springer
There are two different approaches in the LR parsing. The first one is the deterministic approach that performs the only one action using the control rules learned without any LR ...
115
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JMLR
2010
14 years 6 months ago
2010
Inducing a grammar from text has proven to be a notoriously challenging learning task despite decades of research. The primary reason for its difficulty is that in order to induce...
ICDAR
2009
IEEE
15 years 6 months ago
2009
IEEE
Hidden Markov Models (HMM) are probabilistic graphical models for interdependent classification. In this paper we experiment with different ways of combining the components of an ...
101
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CG
2000
Springer
15 years 4 months ago
2000
Springer
Abstract. Over the years, various research projects have attempted to develop a chess program that learns to play well given little prior knowledge beyond the rules of the game. Ea...