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AIIA
2007
Springer
15 years 10 months ago
Structured Hidden Markov Model: A General Framework for Modeling Complex Sequences
Structured Hidden Markov Model (S-HMM) is a variant of Hierarchical Hidden Markov Model that shows interesting capabilities of extracting knowledge from symbolic sequences. In fact...
Ugo Galassi, Attilio Giordana, Lorenza Saitta
TBILLC
2005
Springer
15 years 9 months ago
Towards a Cross-Linguistic Production Data Archive: Structure and Exploration
The present paper presents the structure of a cross-linguistic database of production data. The database contains annotated texts collected from a sample of fifteen different langu...
Michael Götze, Stavros Skopeteas, Torsten Rol...
BMCBI
2004
208views more  BMCBI 2004»
15 years 3 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
UAI
1998
15 years 5 months ago
Inferring Informational Goals from Free-Text Queries: A Bayesian Approach
People using consumer software applications typically do not use technical jargon when querying an online database of help topics. Rather, they attempt to communicate their goals ...
David Heckerman, Eric Horvitz
ICIP
2010
IEEE
15 years 2 months ago
Image modeling and enhancement via structured sparse model selection
An image representation framework based on structured sparse model selection is introduced in this work. The corresponding modeling dictionary is comprised of a family of learned ...
Guoshen Yu, Guillermo Sapiro, Stéphane Mall...