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» A distributed machine learning framework
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GCC
2003
Springer
15 years 8 months ago
Modeling Distributed Algorithm Using B
Although there have been several attempts to create grid systems, there is no clear definition for grids. In this paper, a formal approach is presented for defining elementary func...
Shengrong Zou
ICML
2000
IEEE
16 years 3 months ago
Exploiting the Cost (In)sensitivity of Decision Tree Splitting Criteria
This paper investigates how the splitting criteria and pruning methods of decision tree learning algorithms are influenced by misclassification costs or changes to the class distr...
Chris Drummond, Robert C. Holte
COLT
2007
Springer
15 years 9 months ago
Sketching Information Divergences
When comparing discrete probability distributions, natural measures of similarity are not p distances but rather are informationdivergences such as Kullback-Leibler and Hellinger. ...
Sudipto Guha, Piotr Indyk, Andrew McGregor
ETFA
2006
IEEE
15 years 9 months ago
Systematic Design and Implementation of Distributed Controllers in Industrial Automation
This paper discusses systematic approaches to the design of distributed controllers in industrial automation systems. Several design approaches are compared that lead to the distr...
Valeriy Vyatkin, Martin Hirsch 0002, Hans-Michael ...
ICML
2005
IEEE
16 years 3 months ago
Learning hierarchical multi-category text classification models
We present a kernel-based algorithm for hierarchical text classification where the documents are allowed to belong to more than one category at a time. The classification model is...
Craig Saunders, John Shawe-Taylor, Juho Rousu, S&a...