731 search results - page 84 / 147 » Active Hidden Markov Models for Information Extraction |
BIOADIT
2004
Springer
15 years 1 months ago
2004
Springer
Abstract. Long Short-Term Memory (LSTM) recurrent neural networks (RNNs) are local in space and time and closely related to a biological model of memory in the prefrontal cortex. N...
PAKDD
2009
ACM
15 years 2 months ago
2009
ACM
Abstract. Detecting abnormal event from video sequences is an important problem in computer vision and pattern recognition and a large number of algorithms have been devised to tac...
103
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SECON
2010
IEEE
14 years 7 months ago
2010
IEEE
Abstract--Wireless interference is the major cause of degradation of capacity in 802.11 wireless networks. We present an approach to estimate the interference between nodes and lin...
NIPS
1998
14 years 11 months ago
1998
We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
101
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EMNLP
2008
14 years 11 months ago
2008
Active learning is well-suited to many problems in natural language processing, where unlabeled data may be abundant but annotation is slow and expensive. This paper aims to shed ...