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» Model building using bi-level optimization
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GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
14 years 2 months ago
Analyzing heuristic performance with response surface models: prediction, optimization and robustness
This research uses a Design of Experiments (DOE) approach to build a predictive model of the performance of a combinatorial optimization heuristic over a range of heuristic tuning...
Enda Ridge, Daniel Kudenko
ECCV
2002
Springer
14 years 9 months ago
3D Statistical Shape Models Using Direct Optimisation of Description Length
We describe an automatic method for building optimal 3D statistical shape models from sets of training shapes. Although shape models show considerable promise as a basis for segmen...
Rhodri H. Davies, Carole J. Twining, Timothy F. Co...
PE
2010
Springer
124views Optimization» more  PE 2010»
13 years 2 months ago
High-level approach to modeling of observed system behavior
Current computer systems and communication networks tend to be highly complex, and they typically hide their internal structure from their users. Thus, for selected aspects of cap...
Thomas Begin, Alexandre Brandwajn, Bruno Baynat, B...
CIDR
2011
249views Algorithms» more  CIDR 2011»
12 years 11 months ago
The Case for Predictive Database Systems: Opportunities and Challenges
This paper argues that next generation database management systems should incorporate a predictive model management component to effectively support both inward-facing application...
Mert Akdere, Ugur Çetintemel, Matteo Rionda...
LCPC
2005
Springer
14 years 1 months ago
Analytic Models and Empirical Search: A Hybrid Approach to Code Optimization
Compilers employ system models, sometimes implicitly, to make code optimization decisions. These models are analytic; they reflect their implementor’s understanding and beliefs ...
Arkady Epshteyn, María Jesús Garzar&...