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» Evaluating algorithms that learn from data streams
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SIGSOFT
2009
ACM
16 years 5 months ago
Learning from examples to improve code completion systems
The suggestions made by current IDE's code completion features are based exclusively on static type system of the programming language. As a result, often proposals are made ...
Marcel Bruch, Martin Monperrus, Mira Mezini
NAACL
2003
15 years 5 months ago
Active Learning for Classifying Phone Sequences from Unsupervised Phonotactic Models
This paper describes an application of active learning methods to the classification of phone strings recognized using unsupervised phonotactic models. The only training data req...
Shona Douglas
KDD
2008
ACM
163views Data Mining» more  KDD 2008»
16 years 4 months ago
The cost of privacy: destruction of data-mining utility in anonymized data publishing
Re-identification is a major privacy threat to public datasets containing individual records. Many privacy protection algorithms rely on generalization and suppression of "qu...
Justin Brickell, Vitaly Shmatikov
NETWORKING
2000
15 years 5 months ago
Real-Time Traffic Transmission over the Internet
Abstract. Multimedia applications require the transmission of realtime streams over a network. These streams often exhibit variable bandwidth requirements, and require high bandwid...
Marco Furini, Donald F. Towsley
JCNS
2010
96views more  JCNS 2010»
15 years 2 months ago
Rapid determination of particle velocity from space-time images using the Radon transform
Laser-scanning methods are a means to observe streaming particles, such as the flow of red blood cells in a blood vessel. Typically, particle velocity is extracted from images form...
Patrick J. Drew, Pablo Blinder, Gert Cauwenberghs,...