Time Dependent Rate-Based Modeling for Trace Data

Simple item page
dc.contributor.authorMathur, Anupen
dc.contributor.authorAbrams, Marcen
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2013-06-19T14:36:35Zen
dc.date.available2013-06-19T14:36:35Zen
dc.date.issued1995-10-01en
dc.description.abstractThis paper introduces a novel technique to construct an empirical model fitting time-varying (transient) trace data. The trace is a categorical or numerical time-series. The modeling technique described in this paper first builds a Mass Evolution Graph (MEG) from the trace data. Linear regression is then used to construct a time-dependent probability mass function (pmf) for each state in the trace data.en
dc.format.mimetypeapplication/postscripten
dc.identifierhttp://eprints.cs.vt.edu/archive/00000434/en
dc.identifier.sourceurlhttp://eprints.cs.vt.edu/archive/00000434/01/TR-95-19.psen
dc.identifier.trnumberTR-95-19en
dc.identifier.urihttp://hdl.handle.net/10919/19901en
dc.language.isoenen
dc.publisherDepartment of Computer Science, Virginia Polytechnic Institute & State Universityen
dc.relation.ispartofHistorical Collection(Till Dec 2001)en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.titleTime Dependent Rate-Based Modeling for Trace Dataen
dc.typeTechnical reporten
dc.type.dcmitypeTexten

Files

Original bundle
Now showing 1 - 1 of 1
Name:
TR-95-19.ps
Size:
268.15 KB
Format:
Postscript Files
Download

Collections

Computer Science Technical Reports