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AAAI
2000
13 years 9 months ago
Information Extraction with HMM Structures Learned by Stochastic Optimization
Recent research has demonstrated the strong performance of hidden Markov models applied to information extraction--the task of populating database slots with corresponding phrases...
Dayne Freitag, Andrew McCallum
NIPS
2004
13 years 9 months ago
Optimal Information Decoding from Neuronal Populations with Specific Stimulus Selectivity
A typical neuron in visual cortex receives most inputs from other cortical neurons with a roughly similar stimulus preference. Does this arrangement of inputs allow efficient read...
Marcelo A. Montemurro, Stefano Panzeri
AAAI
2006
13 years 9 months ago
Efficient Active Fusion for Decision-Making via VOI Approximation
Active fusion is a process that purposively selects the most informative information from multiple sources as well as combines these information for achieving a reliable result ef...
Wenhui Liao, Qiang Ji
CIKM
2009
Springer
14 years 20 days ago
Answering XML queries using materialized views revisited
Answering queries using views is a well-established technique in databases. In this context, two outstanding problems can be formulated. The first one consists in deciding whethe...
Xiaoying Wu, Dimitri Theodoratos, Wendy Hui Wang
AAAI
2008
13 years 10 months ago
Markov Blanket Feature Selection for Support Vector Machines
Based on Information Theory, optimal feature selection should be carried out by searching Markov blankets. In this paper, we formally analyze the current Markov blanket discovery ...
Jianqiang Shen, Lida Li, Weng-Keen Wong