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GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
15 years 11 months ago
Nonlinear feature extraction using a neuro genetic hybrid
Feature extraction is a process that extracts salient features from observed variables. It is considered a promising alternative to overcome the problems of weight and structure o...
Yung-Keun Kwon, Byung Ro Moon
ITS
2010
Springer
171views Multimedia» more  ITS 2010»
15 years 11 months ago
Identifying Problem Localization in Peer-Review Feedback
Abstract. In this paper, we use supervised machine learning to automatically identify the problem localization of peer-review feedback. Using five features extracted via Natural L...
Wenting Xiong, Diane J. Litman
ICCAD
2000
IEEE
80views Hardware» more  ICCAD 2000»
15 years 10 months ago
A Twisted Bundle Layout Structure for Minimizing Inductive Coupling Noise
In this paper, we propose a novel misted-bundle layout structure for minimizing inductive coupling noise. In this structure,we create severalrouting regions and re-order the routi...
Guoan Zhong, Cheng-Kok Koh, Kaushik Roy
ICPP
2000
IEEE
15 years 10 months ago
Partial Resolution in Data Value Predictors
Recently, the practice of speculation in resolving data dependences has been studied as a means of extracting more instruction level parallelism (ILP). An outcome of an instructio...
Toshinori Sato, Itsujiro Arita
TCS
2012
14 years 1 months ago
Better short-seed quantum-proof extractors
We construct a strong extractor against quantum storage that works for every min-entropy k, has logarithmic seed length, and outputs Ω(k) bits, provided that the quantum adversa...
Avraham Ben-Aroya, Amnon Ta-Shma