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» Identifying Problem Localization in Peer-Review Feedback
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ITS
2010
Springer
171views Multimedia» more  ITS 2010»
13 years 9 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
NIPS
2003
13 years 6 months ago
Online Learning via Global Feedback for Phrase Recognition
We present a system to recognize phrases based on perceptrons, and a global online learning algorithm to train them together. The recognition strategy applies learning in two laye...
Xavier Carreras, Lluís Màrquez
CDC
2008
IEEE
172views Control Systems» more  CDC 2008»
13 years 6 months ago
Convex relaxation approach to the identification of the Wiener-Hammerstein model
In this paper, an input/output system identification technique for the Wiener-Hammerstein model and its feedback extension is proposed. In the proposed framework, the identificatio...
Kin Cheong Sou, Alexandre Megretski, Luca Daniel
EUROPAR
2009
Springer
13 years 11 months ago
Adaptive Peer Sampling with Newscast
Abstract. The peer sampling service is a middleware service that provides random samples from a large decentralized network to support gossip-based applications such as multicast, ...
Norbert Tölgyesi, Márk Jelasity
TSE
2008
165views more  TSE 2008»
13 years 4 months ago
A Systematic Study of Failure Proximity
Software end users are the best testers, who keep revealing bugs in software that has undergone rigorous in-house testing. In order to leverage their testing efforts, failure repor...
Chao Liu 0001, Xiangyu Zhang, Jiawei Han