401 search results - page 42 / 81 » Generalizations of Markov model to characterize biological s... |
CIKM
2008
Springer
14 years 12 months ago
2008
Springer
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
ISMB
2004
14 years 11 months ago
2004
Motivation: Non-coding RNAs (ncRNAs)--functional RNA molecules not coding for proteins--are grouped into hundreds of families of homologs. To find new members of an ncRNA gene fam...
ATAL
2010
Springer
14 years 11 months ago
2010
Springer
In this paper, we study a particular subclass of partially observable models, called quasi-deterministic partially observable Markov decision processes (QDET-POMDPs), characterize...
BMCBI
2006
14 years 10 months ago
2006
Background: Hidden Markov Models (HMMs) have been extensively used in computational molecular biology, for modelling protein and nucleic acid sequences. In many applications, such...
ATAL
2005
Springer
15 years 3 months ago
2005
Springer
Robust sequence prediction is an essential component of an intelligent agent acting in a dynamic world. We consider the case of near-future event prediction by an online learning ...