1246 search results - page 175 / 250 » Activity Modeling Using Event Probability Sequences |
141
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CORR
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. Hidden Markov models are traditionally decoded by the Viterbi algorithm which finds the highest probability state path in the model. In recent years, several limitations ...
165
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BMCBI
2010
15 years 4 months ago
2010
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
132
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CSCWD
2005
Springer
15 years 6 months ago
2005
Springer
Process mining techniques allow for extracting information from event logs. For example, the audit trails of a workflow management system or the transaction logs of an enterprise ...
141
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IJWGS
2006
15 years 4 months ago
2006
: This paper presents a systematic study of some major problems involved in the transformation of business process modelling languages to executable business process representation...
155
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RECOMB
2004
Springer
16 years 5 months ago
2004
Springer
Abstract. We present an approach to inferring probabilistic models of generegulatory networks that is intended to provide a more mechanistic representation of transcriptional regul...