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113
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DCC
2009
IEEE
16 years 4 months ago
2009
IEEE
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
151
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KDD
2009
ACM
16 years 4 months ago
2009
ACM
Social media such as blogs, Facebook, Flickr, etc., presents data in a network format rather than classical IID distribution. To address the interdependency among data instances, ...
201
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PODS
2009
ACM
16 years 4 months ago
2009
ACM
The problem of finding heavy hitters and approximating the frequencies of items is at the heart of many problems in data stream analysis. It has been observed that several propose...
256
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PODS
2004
ACM
16 years 4 months ago
2004
ACM
A schema mapping is a specification that describes how data structured under one schema (the source schema) is to be transformed into data structured under a different schema (the...
172
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MOBIHOC
2007
ACM
16 years 3 months ago
2007
ACM
We provide a general framework for the analysis of the capacity scaling properties in mobile ad-hoc networks with heterogeneous nodes and spatial inhomogeneities. Existing analyti...