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» Fitting hidden Markov models to psychological data
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WWW
2009
ACM
14 years 9 months ago
Towards context-aware search by learning a very large variable length hidden markov model from search logs
Capturing the context of a user's query from the previous queries and clicks in the same session may help understand the user's information need. A context-aware approac...
Huanhuan Cao, Daxin Jiang, Jian Pei, Enhong Chen, ...
ICPR
2010
IEEE
13 years 10 months ago
Noise-Robust Voice Activity Detector Based on Hidden Semi-Markov Models
This paper concentrates on speech duration distributions that are usually invariant to noises and proposes a noise-robust and real-time voice activity detector (VAD) using the hid...
Xianglong Liu, Yuan Liang, Yihua Lou, He Li, Baoso...
SRDS
2007
IEEE
14 years 3 months ago
Using Hidden Semi-Markov Models for Effective Online Failure Prediction
A proactive handling of faults requires that the risk of upcoming failures is continuously assessed. One of the promising approaches is online failure prediction, which means that...
Felix Salfner, Miroslaw Malek
ICMCS
2000
IEEE
138views Multimedia» more  ICMCS 2000»
14 years 1 months ago
Event-Coupled Hidden Markov Models
Inferences from time-series data can be greatly enhanced by taking into account multiple modalities. In some cases, such as audio of speech and the corresponding video of lip gest...
Trausti T. Kristjansson, Brendan J. Frey, Thomas S...
GCB
2000
Springer
137views Biometrics» more  GCB 2000»
14 years 9 days ago
Detecting Sporadic Recombination in DNA Alignments with Hidden Markov Models
Conventional phylogenetic tree estimation methods assume that all sites in a DNA multiple alignment have the same evolutionary history. This assumption is violated in data sets fro...
Dirk Husmeier, Frank Wright