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» Model Selection for Small Sample Regression
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CGO
2007
IEEE
14 years 1 months ago
Microarchitecture Sensitive Empirical Models for Compiler Optimizations
This paper proposes the use of empirical modeling techniques for building microarchitecture sensitive models for compiler optimizations. The models we build relate program perform...
Kapil Vaswani, Matthew J. Thazhuthaveetil, Y. N. S...
CASES
2006
ACM
14 years 1 months ago
Automatic performance model construction for the fast software exploration of new hardware designs
Developing an optimizing compiler for a newly proposed architecture is extremely difficult when there is only a simulator of the machine available. Designing such a compiler requ...
John Cavazos, Christophe Dubach, Felix V. Agakov, ...
ESANN
2008
13 years 9 months ago
A method for robust variable selection with significance assessment
Our goal is proposing an unbiased framework for gene expression analysis based on variable selection combined with a significance assessment step. We start by discussing the need ...
Annalisa Barla, Sofia Mosci, Lorenzo Rosasco, Ales...

Lecture Notes
742views
15 years 5 months ago
Computer Systems Analysis
Comparing systems using measurement, simulation, and queueing models. Common mistakes and how to avoid them, selection of techniques and metrics, art of data presentation, summariz...
Raj Jain
CORR
2011
Springer
174views Education» more  CORR 2011»
13 years 2 months ago
Hide-and-Seek with Directional Sensing
: We consider a game played between a hider, who hides a static object in one of several possible positions in a bounded planar region, and a searcher who wishes to reach the objec...
Alessandro Borri, Shaunak Dattaprasad Bopardikar, ...