27 search results - page 3 / 6 » Semi-Supervised Sequence Classification with HMMs |
MMS
2006
13 years 5 months ago
2006
Motion trajectories provide rich spatio-temporal information about an object's activity. The trajectory information can be obtained using a tracking algorithm on data streams ...
BMCBI
2007
13 years 5 months ago
2007
Background: Profile Hidden Markov Models (HMM) are statistical representations of protein families derived from patterns of sequence conservation in multiple alignments and have b...
AUSAI
2008
Springer
13 years 7 months ago
2008
Springer
Hidden Markov Models are a widely used generative model for analysing sequence data. A variant, Profile Hidden Markov Models are a special case used in Bioinformatics to represent,...
RECOMB
2002
Springer
14 years 5 months ago
2002
Springer
One key element in understanding the molecular machinery of the cell is to understand the meaning, or function, of each protein encoded in the genome. A very successful means of i...
IUI
2009
ACM
14 years 2 months ago
2009
ACM
We present data-driven methods for supporting musical creativity by capturing the statistics of a musical database. Specifically, we introduce a system that supports users in expl...