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KDD
2008
ACM
137views Data Mining» more  KDD 2008»
16 years 6 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
BMCBI
2006
122views more  BMCBI 2006»
15 years 6 months ago
A domain-oriented approach to the reduction of combinatorial complexity in signal transduction networks
Background:Receptors and scaffold proteins possess a number of distinct domains and bind multiple partners. A common problem in modeling signaling systems arises from a combinator...
Holger Conzelmann, Julio Saez-Rodriguez, Thomas Sa...
JMM2
2006
103views more  JMM2 2006»
15 years 6 months ago
Content Distribution for Telecom Carriers
-- Distribution of digital content is a key revenue opportunity for telecommunications carriers. As media content moves from analog and physical media-based distribution to digital...
Benjamin Falchuk, David Gorton, Dave Marples
ICSOC
2009
Springer
15 years 3 months ago
An Initial Proposal for Data-Aware Resource Analysis of Orchestrations with Applications to Predictive Monitoring
Several activities in service oriented computing can benefit from knowing ahead of time future properties of a given service composition. In this paper we focus on how statically i...
Dragan Ivanovic, Manuel Carro, Manuel V. Hermenegi...
CVPR
2008
IEEE
16 years 8 months ago
PSF estimation using sharp edge prediction
Image blur is caused by a number of factors such as motion, defocus, capturing light over the non-zero area of the aperture and pixel, the presence of anti-aliasing filters on a c...
Neel Joshi, Richard Szeliski, David J. Kriegman