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KDD
1998
ACM
190views Data Mining» more  KDD 1998»
14 years 9 days ago
Time Series Forecasting from High-Dimensional Data with Multiple Adaptive Layers
This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...
R. Bharat Rao, Scott Rickard, Frans Coetzee
ICDCS
1991
IEEE
13 years 11 months ago
Supporting the development of network programs
of ‘‘network computers’’ is inherently lessAbstract predictable than that of more traditional distributed memory systems, such as hypercubes [22], since both theFor computa...
Bernd Bruegge, Peter Steenkiste
ISSTA
2010
ACM
13 years 11 months ago
Analyzing concurrency bugs using dual slicing
Recently, there has been much interest in developing analyzes to detect concurrency bugs that arise because of data races, atomicity violations, execution omission, etc. However, ...
Dasarath Weeratunge, Xiangyu Zhang, William N. Sum...
CONEXT
2009
ACM
13 years 9 months ago
Virtually eliminating router bugs
Software bugs in routers lead to network outages, security vulnerabilities, and other unexpected behavior. Rather than simply crashing the router, bugs can violate protocol semant...
Eric Keller, Minlan Yu, Matthew Caesar, Jennifer R...
ATAL
2007
Springer
14 years 2 months ago
Using Information Gain to Analyze and Fine Tune the Performance of Supply Chain Trading Agents
The Supply Chain Trading Agent Competition (TAC SCM) was designed to explore approaches to dynamic supply chain trading. During the course of each year’s competition historical d...
James Andrews, Michael Benisch, Alberto Sardinha, ...