518 search results - page 19 / 104 » Learning associative Markov networks |
153
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ICASSP
2010
IEEE
15 years 5 months ago
2010
IEEE
Detecting the time of occurrence of an acoustic event (for instance, a cheer) embedded in a longer soundtrack is useful and important for applications such as search and retrieval...
164
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AAAI
2012
13 years 8 months ago
2012
Goal recognition in digital games involves inferring players’ goals from observed sequences of low-level player actions. Goal recognition models support player-adaptive digital ...
167
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KDD
2009
ACM
16 years 13 days ago
2009
ACM
Max-margin Markov networks (M3 N) have shown great promise in structured prediction and relational learning. Due to the KKT conditions, the M3 N enjoys dual sparsity. However, the...
209
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ISI
2006
Springer
15 years 5 months ago
2006
Springer
In the paper we combine a Bayesian Network model for encoding forensic evidence during a given time interval with a Hidden Markov Model (EBN-HMM) for tracking and predicting the de...
201
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CIBCB
2007
IEEE
15 years 9 months ago
2007
IEEE
Abstract-- The advance of high-throughput experimental technologies poses continuous challenges to computational data analysis in functional and comparative genomics studies. Gene ...