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» Mining interesting sets and rules in relational databases
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ADBIS
2003
Springer
108views Database» more  ADBIS 2003»
14 years 27 days ago
Dynamic Integration of Classifiers in the Space of Principal Components
Recent research has shown the integration of multiple classifiers to be one of the most important directions in machine learning and data mining. It was shown that, for an ensemble...
Alexey Tsymbal, Mykola Pechenizkiy, Seppo Puuronen...
ICDAR
2007
IEEE
14 years 2 months ago
Using Random Forests for Handwritten Digit Recognition
In the Pattern Recognition field, growing interest has been shown in recent years for Multiple Classifier Systems and particularly for Bagging, Boosting and Random Subspaces. Th...
Simon Bernard, Sébastien Adam, Laurent Heut...
IACR
2011
94views more  IACR 2011»
12 years 7 months ago
Secure Computation with Sublinear Amortized Work
Traditional approaches to secure computation begin by representing the function f being computed as a circuit. For any function f that depends on each of its inputs, this implies ...
S. Dov Gordon, Jonathan Katz, Vladimir Kolesnikov,...
CAISE
2007
Springer
14 years 1 months ago
Declarative XML Data Cleaning with XClean
Data cleaning is the process of correcting anomalies in a data source, that may for instance be due to typographical errors, or duplicate representations of an entity. It is a cruc...
Melanie Weis, Ioana Manolescu
ASIAMS
2007
IEEE
14 years 2 months ago
Rough-Fuzzy Granulation, Rough Entropy and Image Segmentation
This talk has two parts explaining the significance of Rough sets in granular computing in terms of rough set rules and in uncertainty handling in terms of lower and upper approxi...
Sankar K. Pal