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» On a stochastic sequencing and scheduling problem
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STAIRS
2008
175views Education» more  STAIRS 2008»
13 years 9 months ago
Learning Process Behavior with EDY: an Experimental Analysis
This paper presents an extensive evaluation, on artificial datasets, of EDY, an unsupervised algorithm for automatically synthesizing a Structured Hidden Markov Model (S-HMM) from ...
Ugo Galassi
AAAI
2004
13 years 9 months ago
A Comparison of Techniques for Scheduling Earth Observing Satellites
Scheduling observations by coordinated fleets of Earth Observing Satellites (EOS) involves large search spaces, complex constraints and poorly understood bottlenecks; conditions w...
Al Globus, James Crawford, Jason D. Lohn, Anna Pry...
TCBB
2011
13 years 2 months ago
Semantics and Ambiguity of Stochastic RNA Family Models
Stochastic models such as hidden Markov models or stochastic context free grammars can fail to return the correct, maximum likelihood solution in the case of semantic ambiguity. T...
Robert Giegerich, Christian Höner zu Siederdi...
CCE
2004
13 years 7 months ago
Improving convergence of the stochastic decomposition algorithm by using an efficient sampling technique
This work focuses on the basic stochastic decomposition (SD) algorithm of Higle and Sen [J.L. Higle, S. Sen, Stochastic Decomposition, Kluwer Academic Publishers, 1996] for two-st...
José María Ponce-Ortega, Vicente Ric...
RTCSA
2009
IEEE
14 years 2 months ago
Managing Imprecise Worst Case Execution Times on DVFS Platforms
Abstract—Although energy-efficient real-time task scheduling has attracted a lot of attention in the past decade, most existing results assumed deterministic execution lengths f...
Vandy Berten, Chi-Ju Chang, Tei-Wei Kuo