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» Time prediction based on process mining
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BMCBI
2008
173views more  BMCBI 2008»
13 years 8 months ago
Improved machine learning method for analysis of gas phase chemistry of peptides
Background: Accurate peptide identification is important to high-throughput proteomics analyses that use mass spectrometry. Search programs compare fragmentation spectra (MS/MS) o...
Allison Gehrke, Shaojun Sun, Lukasz A. Kurgan, Nat...
ICSOC
2010
Springer
13 years 6 months ago
Incorporating Expectations as a Basis for Business Service Selection
Abstract. The collaborative creation of value is the central tenet of services science. In particular, then, the quality of a service encounter would depend on the mutual expectati...
Adel M. ElMessiry, Xibin Gao, Munindar P. Singh
SIGMETRICS
2010
ACM
195views Hardware» more  SIGMETRICS 2010»
13 years 12 months ago
CWS: a model-driven scheduling policy for correlated workloads
We define CWS, a non-preemptive scheduling policy for workloads with correlated job sizes. CWS tackles the scheduling problem by inferring the expected sizes of upcoming jobs bas...
Giuliano Casale, Ningfang Mi, Evgenia Smirni
MLDM
2005
Springer
14 years 1 months ago
Clustering Large Dynamic Datasets Using Exemplar Points
In this paper we present a method to cluster large datasets that change over time using incremental learning techniques. The approach is based on the dynamic representation of clus...
William Sia, Mihai M. Lazarescu
ICCAD
1994
IEEE
92views Hardware» more  ICCAD 1994»
14 years 1 days ago
Reuse of design objects in CAD frameworks
The reuse of well-tested and optimized design objects is an important aspect for decreasing design times, increasing design quality, and improving the predictability of designs. R...
Joachim Altmeyer, Stefan Ohnsorge, Bernd Schü...