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PKDD
2009
Springer
138views Data Mining» more  PKDD 2009»
16 years 1 months ago
Margin and Radius Based Multiple Kernel Learning
A serious drawback of kernel methods, and Support Vector Machines (SVM) in particular, is the difficulty in choosing a suitable kernel function for a given dataset. One of the appr...
Huyen Do, Alexandros Kalousis, Adam Woznica, Melan...
PKDD
2009
Springer
88views Data Mining» more  PKDD 2009»
16 years 1 months ago
Feature Weighting Using Margin and Radius Based Error Bound Optimization in SVMs
The Support Vector Machine error bound is a function of the margin and radius. Standard SVM algorithms maximize the margin within a given feature space, therefore the radius is fi...
Huyen Do, Alexandros Kalousis, Melanie Hilario

Book
338views
17 years 4 months ago
The Data Conversion Handbook
"The Data Conversion Handbook, edited by Walt Kester (Newnes, 2005), is written for design engineers who routinely use data converters and related circuitry. Comprising Data C...
Walt Kester
GI
2007
Springer
16 years 25 days ago
An Object Oriented Approach for Data Fusion
: An new object oriented development suite for data fusion is presented. It is shown how the various issues in the data fusion development like design, implementation, simulation a...
Kaeye Dästner, Thomas Kausch, Felix Opitz
HPCA
2006
IEEE
16 years 7 months ago
CORD: cost-effective (and nearly overhead-free) order-recording and data race detection
Chip-multiprocessors are becoming the dominant vehicle for general-purpose processing, and parallel software will be needed to effectively utilize them. This parallel software is ...
Milos Prvulovic