791 search results - page 31 / 159 » The Hierarchical Hidden Markov Model: Analysis and Applicati... |
ACL
2006
15 years 2 months ago
2006
Hidden Markov models (HMMs) are powerful statistical models that have found successful applications in Information Extraction (IE). In current approaches to applying HMMs to IE, a...
128
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ITS
2010
Springer
15 years 6 months ago
2010
Springer
Identifying effective tutorial dialogue strategies is a key issue for intelligent tutoring systems research. Human-human tutoring offers a valuable model for identifying effective ...
116
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CORR
2008
Springer
15 years 1 months ago
2008
Springer
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
122
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ALMOB
2006
15 years 1 months ago
2006
Background: An important challenge in eukaryotic gene prediction is accurate identification of alternatively spliced exons. Functional transcripts can go undetected in gene expres...
112
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ICML
2007
IEEE
16 years 2 months ago
2007
IEEE
Hierarchical models have been extensively studied in various domains. However, existing models assume fixed model structures or incorporate structural uncertainty generatively. In...