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» A Case Study for Learning from Imbalanced Data Sets
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ROCAI
2004
Springer
14 years 3 months ago
Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
Tobias Sing, Niko Beerenwinkel, Thomas Lengauer
SENSYS
2005
ACM
14 years 3 months ago
Design and deployment of industrial sensor networks: experiences from a semiconductor plant and the north sea
Sensing technology is a cornerstone for many industrial applications. Manufacturing plants and engineering facilities, such as shipboard engine rooms, require sensors to ensure pr...
Lakshman Krishnamurthy, Robert Adler, Philip Buona...
CORR
2010
Springer
74views Education» more  CORR 2010»
13 years 10 months ago
Significance of Classification Techniques in Prediction of Learning Disabilities
The aim of this study is to show the importance of two classification techniques, viz. decision tree and clustering, in prediction of learning disabilities (LD) of school-age chil...
Julie M. David, Kannan Balakrishnan
IAJIT
2010
133views more  IAJIT 2010»
13 years 8 months ago
Mediation Queries Adaptation After the Removal of a Data Source
: A broad variety of data is available in distinct heterogeneous sources, stored under different formats: database formats (in relational and object-oriented models), document form...
Latifa Baba-hamed
CSFW
1998
IEEE
14 years 2 months ago
Proving Security Protocols with Model Checkers by Data Independence Techniques
Model checkers such as FDR have been extremely e ective in checking for, and nding, attacks on cryptographic protocols { see, for example 11, 12, 14] and many of the papers in 3]....
A. W. Roscoe