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» Experimental perspectives on learning from imbalanced data
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MCS
2010
Springer
13 years 5 months ago
Improving Multilabel Classification Performance by Using Ensemble of Multi-label Classifiers
Multilabel classification is a challenging research problem in which each instance is assigned to a subset of labels. Recently, a considerable amount of research has been concerned...
Muhammad Atif Tahir, Josef Kittler, Krystian Mikol...
SIGKDD
2000
237views more  SIGKDD 2000»
13 years 7 months ago
The UCI KDD Archive of Large Data Sets for Data Mining Research and Experimentation
Advances in data collection and storage have allowed organizations to create massive, complex and heterogeneous databases, which have stymied traditional methods of data analysis....
Stephen D. Bay, Dennis F. Kibler, Michael J. Pazza...
ICNS
2009
IEEE
14 years 2 months ago
Analysis and Experimental Evaluation of Data Plane Virtualization with Xen
Combining end-host, server and router virtualization could offer isolated and malleable virtual networks of different types, owners and protocols, all sharing one physical infrast...
Fabienne Anhalt, Pascale Vicat-Blanc Primet
IJCAI
1989
13 years 8 months ago
An Experimental Comparison of Symbolic and Connectionist Learning Algorithms
Despite the fact that many symbolic and connectionist (neural net) learning algorithms are addressing the same problem of learning from classified examples, very little Is known r...
Raymond J. Mooney, Jude W. Shavlik, Geoffrey G. To...
EUSAI
2004
Springer
14 years 1 months ago
End-User Configuration of Ambient Intelligence Environments: Feasibility from a User Perspective
Abstract. We report research into concepts and technology for enabling endusers to configure Ambient Intelligent environments. In this paper we focus on the feasibility and accepta...
Panos Markopoulos, Irene Mavrommati, Achilles Kame...