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» Reduced-Rank Hidden Markov Models
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DAGSTUHL
2007
15 years 6 months ago
Logical Particle Filtering
Abstract. In this paper, we consider the problem of filtering in relational hidden Markov models. We present a compact representation for such models and an associated logical par...
Luke S. Zettlemoyer, Hanna M. Pasula, Leslie Pack ...
SIGIR
2003
ACM
15 years 10 months ago
Table extraction using conditional random fields
The ability to find tables and extract information from them is a necessary component of data mining, question answering, and other information retrieval tasks. Documents often c...
David Pinto, Andrew McCallum, Xing Wei, W. Bruce C...
145
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BMCBI
2006
112views more  BMCBI 2006»
15 years 5 months ago
Algorithms for incorporating prior topological information in HMMs: application to transmembrane proteins
Background: Hidden Markov Models (HMMs) have been extensively used in computational molecular biology, for modelling protein and nucleic acid sequences. In many applications, such...
Pantelis G. Bagos, Theodore D. Liakopoulos, Stavro...
JCB
1998
92views more  JCB 1998»
15 years 4 months ago
Homology Detection via Family Pairwise Search
The function of an unknown biological sequence can often be accurately inferred by identifying sequences homologous to the original sequence. Given a query set of known homologs, ...
William Noble Grundy
TASE
2008
IEEE
15 years 4 months ago
An Intelligent Online Monitoring and Diagnostic System for Manufacturing Automation
Condition monitoring and fault diagnosis in modern manufacturing automation is of great practical significance. It improves quality and productivity, and prevents damage to machine...
Ming Ge, Yangsheng Xu, Ruxu Du