276 search results - page 50 / 56 » PAC-Learning of Markov Models with Hidden State |
BMCBI
2006
13 years 6 months ago
2006
Background: The number of sequenced eukaryotic genomes is rapidly increasing. This means that over time it will be hard to keep supplying customised gene finders for each genome. ...
CVPR
1998
IEEE
14 years 8 months ago
1998
IEEE
A new approach to the recognition of temporal behaviors and activities is presented. The fundamental idea, inspired by work in speech recognition, is to divide the inference probl...
BMCBI
2004
13 years 6 months ago
2004
Background: Profile Hidden Markov Models (pHMMs) are a widely used tool for protein family research. Up to now, however, there exists no method to visualize all of their central a...
TASLP
2010
13 years 1 months ago
2010
This paper presents a framework for efficient HMM-based estimation of unreliable spectrographic speech data. It discusses the role of Hidden Markov Models (HMMs) during minimum mea...
VLDB
2007
ACM
14 years 7 months ago
2007
ACM
The modeling of high level semantic events from low level sensor signals is important in order to understand distributed phenomena. For such content-modeling purposes, transformat...