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COLT
2000
Springer
15 years 8 months ago
Model Selection and Error Estimation
We study model selection strategies based on penalized empirical loss minimization. We point out a tight relationship between error estimation and data-based complexity penalizatio...
Peter L. Bartlett, Stéphane Boucheron, G&aa...
ISSTA
1998
ACM
15 years 8 months ago
On the Limit of Control Flow Analysis for Regression Test Selection
Automated analyses for regression test selection (RTS) attempt to determine if a modified program, when run on a test t, will have the same behavior as an old version of the prog...
Thomas Ball
DAC
2010
ACM
15 years 8 months ago
Representative path selection for post-silicon timing prediction under variability
The identification of speedpaths is required for post-silicon (PS) timing validation, and it is currently becoming timeconsuming due to manufacturing variations. In this paper we...
Lin Xie, Azadeh Davoodi
EPIA
2009
Springer
15 years 8 months ago
Semantic Image Search and Subset Selection for Classifier Training in Object Recognition
Abstract. Robots need to ground their external vocabulary and internal symbols in observations of the world. In recent works, this problem has been approached through combinations ...
Rui Pereira, Luís Seabra Lopes, Augusto Sil...
GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
15 years 8 months ago
Inference of genetic networks using S-system: information criteria for model selection
In this paper we present an evolutionary approach for inferring the structure and dynamics in gene circuits from observed expression kinetics. For representing the regulatory inte...
Nasimul Noman, Hitoshi Iba