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KDD
2008
ACM
137views Data Mining» more  KDD 2008»
16 years 2 months ago
Learning classifiers from only positive and unlabeled data
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
Charles Elkan, Keith Noto
KDD
2005
ACM
125views Data Mining» more  KDD 2005»
16 years 2 months ago
Email data cleaning
Addressed in this paper is the issue of `email data cleaning' for text mining. Many text mining applications need take emails as input. Email data is usually noisy and thus i...
Jie Tang, Hang Li, Yunbo Cao, ZhaoHui Tang
CHI
2007
ACM
16 years 2 months ago
ExperiScope: an analysis tool for interaction data
We present ExperiScope, an analytical tool to help designers and experimenters explore the results of quantitative evaluations of interaction techniques. ExperiScope combines a ne...
François Guimbretière, Ken Hinckley,...
CHI
2005
ACM
16 years 2 months ago
A study on the manipulation of 2D objects in a projector/camera-based augmented reality environment
Are the object manipulation techniques traditionally used in head?mounted displays (HMDs) applicable to augmented reality based projection systems? This paper examines the differe...
Stephen Voida, Mark Podlaseck, Rick Kjeldsen, Clau...
POPL
2008
ACM
16 years 2 months ago
Imperative self-adjusting computation
Self-adjusting computation enables writing programs that can automatically and efficiently respond to changes to their data (e.g., inputs). The idea behind the approach is to stor...
Umut A. Acar, Amal Ahmed, Matthias Blume