791 search results - page 70 / 159 » The Hierarchical Hidden Markov Model: Analysis and Applicati... |
KDD
2009
ACM
16 years 2 months ago
2009
ACM
The problem of ethnicity identification from names has a variety of important applications, including biomedical research, demographic studies, and marketing. Here we report on th...
140
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TSP
2008
15 years 1 days ago
2008
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
108
Voted
ATAL
2007
Springer
15 years 7 months ago
2007
Springer
Recognizing and annotating the occurrence of team actions in observations of embodied agents has applications in surveillance and in training of military or sport teams. We descri...
85
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ICMCS
2007
IEEE
15 years 8 months ago
2007
IEEE
Contextual information is important for sequence modeling. Hidden Markov Models (HMMs) and extensions, which have been widely used for sequence modeling, make simplifying, often u...
101
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JMLR
2010
14 years 8 months ago
2010
We have developed a machine learning toolbox, called SHOGUN, which is designed for unified large-scale learning for a broad range of feature types and learning settings. It offers...