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KDD
2008
ACM
140views Data Mining» more  KDD 2008»
16 years 6 months ago
Semi-supervised approach to rapid and reliable labeling of large data sets
Supervised classification methods have been shown to be very effective for a large number of applications. They require a training data set whose instances are labeled to indicate...
György J. Simon, Vipin Kumar, Zhi-Li Zhang
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
16 years 6 months ago
High-throughput Protein Interactome Data: Minable or Not?
There is an emerging trend in post-genome biology to study the collection of thousands of protein interaction pairs (protein interactome) derived from high-throughput experiments....
Jake Yue Chen, Andrey Y. Sivachenko, Lang Li
KDD
2003
ACM
205views Data Mining» more  KDD 2003»
16 years 6 months ago
The data mining approach to automated software testing
In today's industry, the design of software tests is mostly based on the testers' expertise, while test automation tools are limited to execution of pre-planned tests on...
Mark Last, Menahem Friedman, Abraham Kandel
VLSID
2005
IEEE
285views VLSI» more  VLSID 2005»
16 years 6 months ago
Power Monitors: A Framework for System-Level Power Estimation Using Heterogeneous Power Models
Abstract--Power analysis early in the design cycle is critical for the design of lowpower systems. With the move to system-level specifications and design methodologies, there has ...
Nikhil Bansal, Kanishka Lahiri, Anand Raghunathan,...
STOC
2003
ACM
90views Algorithms» more  STOC 2003»
16 years 6 months ago
Work-competitive scheduling for cooperative computing with dynamic groups
The problem of cooperatively performing a set of t tasks in a decentralized setting where the computing medium is subject to failures is one of the fundamental problems in distrib...
Chryssis Georgiou, Alexander Russell, Alexander A....
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