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KDD
2008
ACM
137views Data Mining» more  KDD 2008»
15 years 10 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
AOSD
2003
ACM
15 years 2 months ago
Quantifying aspects in middleware platforms
Middleware technologies such as Web Services, CORBA and DCOM have been very successful in solving distributed computing problems for a large family of application domains. As midd...
Charles Zhang, Hans-Arno Jacobsen
KIVS
1999
Springer
15 years 1 months ago
Mobile Agents as an Architectural Concept for Internet-Based Distributed Applications - The WASP Project Approach
Abstract. After introducing the concept of mobile agents and potential application domains, we motivate why mobile agent technology is an interesting concept for large Internet-bas...
Stefan Fünfrocken, Friedemann Mattern
66
Voted
ECAI
2006
Springer
15 years 1 months ago
A Real Generalization of Discrete AdaBoost
Scaling discrete AdaBoost to handle real-valued weak hypotheses has often been done under the auspices of convex optimization, but little is generally known from the original boost...
Richard Nock, Frank Nielsen
ICSE
2008
IEEE-ACM
15 years 10 months ago
Testing pervasive software in the presence of context inconsistency resolution services
Pervasive computing software adapts its behavior according to the changing contexts. Nevertheless, contexts are often noisy. Context inconsistency resolution provides a cleaner pe...
Heng Lu, W. K. Chan, T. H. Tse