224 search results - page 4 / 45 » A Hidden Markov Model for the TREC Novelty Task |
116
Voted
COLING
2008
15 years 1 months ago
2008
This paper explores the use of the homotopy method for training a semi-supervised Hidden Markov Model (HMM) used for sequence labeling. We provide a novel polynomial-time algorith...
ICPR
2006
IEEE
16 years 23 days ago
2006
IEEE
Protein fold recognition has been the focus of computational biologists for many years. In order to map a protein primary structure to its correct 3D fold, we introduce in this pa...
81
Voted
UAI
2008
15 years 1 months ago
2008
We consider the task of learning mappings from sequential data to real-valued responses. We present and evaluate an approach to learning a type of hidden Markov model (HMM) for re...
100
Voted
ECIR
2006
Springer
15 years 1 months ago
2006
Springer
This paper presents two sentence retrieval methods. We adopt the task definition done in the TREC Novelty Track: sentence retrieval consists in the extraction of the relevant sente...
105
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BMCBI
2004
14 years 11 months ago
2004
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...