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GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
15 years 3 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 2 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 2 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 2 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
13 years 5 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