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» GraphLab: A New Framework for Parallel Machine Learning
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MLDM
2005
Springer
14 years 1 months ago
Supervised Evaluation of Dataset Partitions: Advantages and Practice
In the context of large databases, data preparation takes a greater importance : instances and explanatory attributes have to be carefully selected. In supervised learning, instanc...
Sylvain Ferrandiz, Marc Boullé
ICDCS
2007
IEEE
13 years 11 months ago
Communication-Efficient Tracking of Distributed Cumulative Triggers
In recent work, we proposed D-Trigger, a framework for tracking a global condition over a large network that allows us to detect anomalies while only collecting a very limited amo...
Ling Huang, Minos N. Garofalakis, Anthony D. Josep...
ML
2002
ACM
123views Machine Learning» more  ML 2002»
13 years 7 months ago
Feature Generation Using General Constructor Functions
Most classification algorithms receive as input a set of attributes of the classified objects. In many cases, however, the supplied set of attributes is not sufficient for creatin...
Shaul Markovitch, Dan Rosenstein
ICML
2010
IEEE
13 years 8 months ago
On the Consistency of Ranking Algorithms
We present a theoretical analysis of supervised ranking, providing necessary and sufficient conditions for the asymptotic consistency of algorithms based on minimizing a surrogate...
John Duchi, Lester W. Mackey, Michael I. Jordan
PPPJ
2006
ACM
14 years 1 months ago
The Project Maxwell assembler system
The JavaTM programming language is primarily used for platform-independent programming. Yet it also offers many productivity, maintainability and performance benefits for platfo...
Bernd Mathiske, Douglas N. Simon, Dave Ungar