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JSSPP
2005
Springer
15 years 3 months ago
ScoPred-Scalable User-Directed Performance Prediction Using Complexity Modeling and Historical Data
Using historical information to predict future runs of parallel jobs has shown to be valuable in job scheduling. Trends toward more flexible jobscheduling techniques such as adapt...
Benjamin J. Lafreniere, Angela C. Sodan
SSDBM
1999
IEEE
108views Database» more  SSDBM 1999»
15 years 2 months ago
Supporting Imprecision in Multidimensional Databases Using Granularities
On-Line Analytical Processing (OLAP) technologies are being used widely, but the lack of effective means of handling data imprecision, which occurs when exact values are not known...
Torben Bach Pedersen, Christian S. Jensen, Curtis ...
CSDA
2006
85views more  CSDA 2006»
14 years 10 months ago
Fast and compact smoothing on large multidimensional grids
A framework of penalized generalized linear models and tensor products of B-splines with roughness penalties allows effective smoothing of data in multidimensional arrays. A strai...
Paul H. C. Eilers, Iain D. Currie, María Du...
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PAMI
2008
119views more  PAMI 2008»
14 years 10 months ago
Triplet Markov Fields for the Classification of Complex Structure Data
We address the issue of classifying complex data. We focus on three main sources of complexity, namely, the high dimensionality of the observed data, the dependencies between these...
Juliette Blanchet, Florence Forbes
DAWAK
2006
Springer
15 years 4 days ago
Towards Multidimensional Requirement Design
Abstract. Data warehouses (DW) main objective is to facilitating decisionmaking. Thus their development has to take into account DW project actor requirements. While much recent re...
Estella Annoni, Franck Ravat, Olivier Teste, Gille...