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IPPS
2003
IEEE
15 years 7 months ago
Task Graph Scheduling Using Timed Automata
In this paper we develop a methodology for treating the problem of scheduling partially-ordered tasks on parallel machines. Our framework is based on the timed automaton model, or...
Yasmina Abdeddaïm, Abdelkarim Kerbaa, Oded Ma...
147
Voted
ISDA
2010
IEEE
15 years 13 days ago
Avoiding simplification strategies by introducing multi-objectiveness in real world problems
Abstract--In business analysis, models are sometimes oversimplified. We pragmatically approach many problems with a single financial objective and include monetary values for non-m...
Charlotte J. C. Rietveld, Gijs P. Hendrix, Frank T...
CORR
2010
Springer
112views Education» more  CORR 2010»
14 years 12 months ago
Optimal Distributed Online Prediction using Mini-Batches
Online prediction methods are typically presented as serial algorithms running on a single processor. However, in the age of web-scale prediction problems, it is increasingly comm...
Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir, Lin X...
GECCO
2005
Springer
108views Optimization» more  GECCO 2005»
15 years 8 months ago
Hybridizing evolutionary algorithms and clustering algorithms to find source-code clones
This paper presents a hybrid approach to detect source-code clones that combines evolutionary algorithms and clustering. A case-study is conducted on a small C++ code base. The pr...
Andrew Sutton, Huzefa H. Kagdi, Jonathan I. Maleti...
131
Voted
CISS
2008
IEEE
15 years 9 months ago
Distributed computation of a sparse cover in sensor networks without location information
— In this paper, we present a distributed algorithm for detecting redundancies in a sensor network with no location information. We demonstrate how, in the absence of localizatio...
Alireza Tahbaz-Salehi, Ali Jadbabaie