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» Distributed Innovation in Classes of Networks
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KDD
2012
ACM
197views Data Mining» more  KDD 2012»
11 years 10 months ago
On the separability of structural classes of communities
Three major factors govern the intricacies of community extraction in networks: (1) the application domain includes a wide variety of networks of fundamentally different natures,...
Bruno D. Abrahao, Sucheta Soundarajan, John E. Hop...
NN
1998
Springer
13 years 7 months ago
Distributed ARTMAP: a neural network for fast distributed supervised learning
Distributed coding at the hidden layer of a multi-layer perceptron (MLP) endows the network with memory compression and noise tolerance capabilities. However, an MLP typically req...
Gail A. Carpenter, Boriana L. Milenova, Benjamin W...
JMLR
2011
145views more  JMLR 2011»
13 years 2 months ago
Cumulative Distribution Networks and the Derivative-sum-product Algorithm: Models and Inference for Cumulative Distribution Func
We present a class of graphical models for directly representing the joint cumulative distribution function (CDF) of many random variables, called cumulative distribution networks...
Jim C. Huang, Brendan J. Frey
ICEIS
2003
IEEE
14 years 29 days ago
Incremental Horizontal Fragmentation of Database Class Objects
: Horizontal fragments of a class in an object-oriented database system contain subsets of the class extent or instance objects. These fragments are created with a set of system in...
Christie I. Ezeife, Pinakpani Dey
ICDCSW
2006
IEEE
14 years 1 months ago
Dealing with Class Skew in Context Recognition
As research in context recognition moves towards more maturity and real life applications, appropriate and reliable performance metrics gain importance. This paper focuses on the ...
Mathias Stäger, Paul Lukowicz, Gerhard Tr&oum...