518 search results - page 19 / 104 » Learning associative Markov networks |
ICASSP
2010
IEEE
13 years 8 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...
AAAI
2012
11 years 10 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 ...
KDD
2009
ACM
14 years 2 months 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...
ISI
2006
Springer
13 years 7 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...
CIBCB
2007
IEEE
13 years 11 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 ...