17 search results - page 3 / 4 » Hidden Markov and Independence Models with Patterns for Sequ... |
BMCBI
2007
13 years 5 months ago
2007
Background: Hidden Markov Models (HMMs) provide an excellent means for structure identification and feature extraction on stochastic sequential data. An HMM-with-Duration (HMMwD) ...
ADAPTIVE
2007
Springer
13 years 12 months ago
2007
Springer
Abstract. In this chapter we present an overview of Web personalization process viewed as an application of data mining requiring support for all the phases of a typical data minin...
JMLR
2002
13 years 5 months ago
2002
The temporal distance between events conveys information essential for numerous sequential tasks such as motor control and rhythm detection. While Hidden Markov Models tend to ign...
ISMB
1998
13 years 7 months ago
1998
We study from a computational standpoint several different physicalscales associatedwith structural features of DNA sequences, including dinucleotide scales such as base stacking ...
ISVC
2010
Springer
13 years 4 months ago
2010
Springer
We consider the problem of developing an automated visual solution for detecting human activities within industrial environments. This has been performed using an overhead view. Th...