271 search results - page 34 / 55 » Hidden Markov Model Variants and their Application |
FLAIRS
2004
14 years 11 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...
RIAO
2000
14 years 11 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...
ACII
2005
Springer
14 years 11 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...
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AAAI
2006
14 years 11 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 ...
SAC
2008
ACM
14 years 9 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 ...