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ISCI
2008
165views more  ISCI 2008»
14 years 10 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...
77
Voted
AUTOMATICA
2010
99views more  AUTOMATICA 2010»
14 years 10 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
14 years 11 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
103
Voted
ESOP
2009
Springer
15 years 5 months 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
159
Voted
PODS
2009
ACM
113views Database» more  PODS 2009»
15 years 10 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