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ISCI
2008
165views more  ISCI 2008»
13 years 5 months ago
Support vector regression from simulation data and few experimental samples
This paper considers nonlinear modeling based on a limited amount of experimental data and a simulator built from prior knowledge. The problem of how to best incorporate the data ...
Gérard Bloch, Fabien Lauer, Guillaume Colin...
AUTOMATICA
2010
99views more  AUTOMATICA 2010»
13 years 5 months ago
Two nonlinear optimization methods for black box identification compared
: In this paper, two nonlinear optimization methods for the identification of nonlinear systems are compared. Both methods estimate all the parameters of a polynomial nonlinear sta...
Anne Van Mulders, Johan Schoukens, Marnix Volckaer...
PDPTA
2004
13 years 6 months ago
Efficient Disk Replacement and Data Migration Algorithms for Large Disk Subsystems
Random data placement has recently emerged as an alternative to traditional data striping. From a performance perspective, it has been demonstrated to be an efficient and scalable...
Roger Zimmermann, Beomjoo Seo
ESOP
2009
Springer
14 years 2 days ago
Amortised Memory Analysis Using the Depth of Data Structures
Hofmann and Jost have presented a heap space analysis [1] that finds linear space bounds for many functional programs. It uses an amortised analysis: assigning hypothetical amount...
Brian Campbell
PODS
2009
ACM
113views Database» more  PODS 2009»
14 years 5 months ago
Relative information completeness
The paper investigates the question of whether a partially closed database has complete information to answer a query. In practice an enterprise often maintains master data Dm, a ...
Wenfei Fan, Floris Geerts