1084 search results - page 19 / 217 » Hidden Markov Models with Multiple Observation Processes |
109
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IICAI
2007
15 years 1 months ago
2007
Structured Hidden Markov Models (S-HMM) are a variant of Hierarchical Hidden Markov Models; it provides an abstraction mechanism allowing a high level symbolic description of the k...
129
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ICDM
2008
IEEE
15 years 6 months ago
2008
IEEE
This paper studies evolutionary clustering, which is a recently hot topic with many important applications, noticeably in social network analysis. In this paper, based on the rece...
AAAI
2004
15 years 1 months ago
2004
Repetition is an important phenomenon in a variety of domains, such as music, computer programs and architectural drawings. A generative model for these domains should account for...
103
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CIKM
2008
Springer
15 years 1 months ago
2008
Springer
We propose a novel probabilistic method based on the Hidden Markov Model (HMM) to learn the structure of a Latent Variable Model (LVM) for query language modeling. In the proposed...
ICPR
2008
IEEE
15 years 6 months ago
2008
IEEE
One of the major limitations of HMM-based models is the inability to cope with topology: When applied to a visible observation (VO) sequence, HMM-based techniques have difficulty ...