27 search results - page 1 / 6 » Semi-Supervised Sequence Classification with HMMs |
FLAIRS
2004
13 years 5 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...
COLING
2008
13 years 5 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...
BMVC
1998
13 years 5 months ago
1998
In this paper we describe a system for automatic gait analysis. Different kinds of human gait are recognized using sequences of grey
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
BMCBI
2008
13 years 4 months ago
2008
Background: Ionic current blockade signal processing, for use in nanopore detection, offers a promising new way to analyze single molecule properties with potential implications f...