741 search results - page 69 / 149 » A Markov random field model for term dependencies |
148
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Book
"A random or stochastic process is a mathematical model for a phenomenon
that evolves in time in an unpredictable manner from the viewpoint of the
observer. The phenomenon m...
ACL
2006
14 years 11 months ago
2006
This paper shows that a simple two-stage approach to handle non-local dependencies in Named Entity Recognition (NER) can outperform existing approaches that handle non-local depen...
104
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IJCAI
2007
14 years 11 months ago
2007
Recently, significant progress has been made on learning structured predictors via coordinated training algorithms such as conditional random fields and maximum margin Markov ne...
ICN
2005
Springer
15 years 3 months ago
2005
Springer
Spatially coordinated packet sampling can be implemented by using a deterministic function of packet content to determine the selection decision for a given packet. In this way, a...
CRYPTO
2005
Springer
15 years 3 months ago
2005
Springer
A black-box secret sharing scheme (BBSSS) for a given access structure works in exactly the same way over any finite Abelian group, as it only requires black-box access to group o...