271 search results - page 34 / 55 » Hidden Markov Model Variants and their Application |
178
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FLAIRS
2004
15 years 7 months ago
2004
Using unlabeled data to help supervised learning has become an increasingly attractive methodology and proven to be effective in many applications. This paper applies semi-supervi...
162
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RIAO
2000
15 years 7 months ago
2000
We consider the application of machine learning techniques for sequence modeling to Information Retrieval (IR) and surface Information Extraction (IE) tasks. We introduce a generi...
190
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ACII
2005
Springer
15 years 8 months ago
2005
Springer
In this paper we present a system to recognize the hand motion of Taiwanese Sign Language (TSL) using the Hidden Markov Models (HMMs) through a vision-based interface. Our hand mot...
148
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AAAI
2006
15 years 7 months ago
2006
As embedded systems grow increasingly complex, there is a pressing need for diagnosing and monitoring capabilities that estimate the system state robustly. This paper is based on ...
162
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SAC
2008
ACM
15 years 5 months ago
2008
ACM
Standard methods for maximum likelihood parameter estimation in latent variable models rely on the Expectation-Maximization algorithm and its Monte Carlo variants. Our approach is ...