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» Automated Model Selection for Simulation
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EWC
2010
91views more  EWC 2010»
13 years 6 months ago
Multiobjective global surrogate modeling, dealing with the 5-percent problem
When dealing with computationally expensive simulation codes or process measurement data, surrogate modeling methods are firmly established as facilitators for design space explor...
Dirk Gorissen, Ivo Couckuyt, Eric Laermans, Tom Dh...
EDBT
2010
ACM
184views Database» more  EDBT 2010»
13 years 10 months ago
PARINDA: an interactive physical designer for PostgreSQL
One of the most challenging tasks for the database administrator is to physically design the database to attain optimal performance for a given workload. Physical design is hard b...
Cristina Maier, Debabrata Dash, Ioannis Alagiannis...
MA
2010
Springer
94views Communications» more  MA 2010»
13 years 6 months ago
On sparse estimation for semiparametric linear transformation models
: Semiparametric linear transformation models have received much attention due to its high flexibility in modeling survival data. A useful estimating equation procedure was recent...
Hao Helen Zhang, Wenbin Lu, Hansheng Wang
ICFEM
2007
Springer
14 years 2 months ago
Machine-Assisted Proof Support for Validation Beyond Simulink
Simulink is popular in industry for modeling and simulating embedded systems. It is deficient to handle requirements of high-level assurance and timing analysis. Previously, we sh...
Chunqing Chen, Jin Song Dong, Jun Sun 0001
DAC
1998
ACM
14 years 9 months ago
Functional Vector Generation for HDL Models Using Linear Programming and 3-Satisfiability
Abstract-Our strategy for automatic generation of functional vectors is based on exercising selected paths in the given hardware description language (HDL) model. The HDL model des...
Farzan Fallah, Srinivas Devadas, Kurt Keutzer