67 search results - page 4 / 14 » Pattern discovery in sequences under a Markov assumption |
BMCBI
2010
13 years 9 months ago
2010
Background: The classification of protein sequences using string algorithms provides valuable insights for protein function prediction. Several methods, based on a variety of diff...
BPM
2009
Springer
14 years 3 months ago
2009
Springer
The goal of process mining is to discover process models from event logs. However, for processes that are not well structured and have a lot of diverse behavior, existing process m...
FTSIG
2007
13 years 9 months ago
2007
Hidden Markov Models (HMMs) provide a simple and effective framework for modelling time-varying spectral vector sequences. As a consequence, almost all present day large vocabula...
ICML
2004
IEEE
14 years 2 months ago
2004
IEEE
In this work we consider the task of relaxing the i.i.d assumption in online pattern recognition (or classification), aiming to make existing learning algorithms applicable to a ...
SOFTWARE
2002
13 years 8 months ago
2002
We consider the problem of characterisation of sequences of heterogeneous symbolic data that arise from a common underlying temporal pattern. The data, which are subject to impreci...