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» Prediction on Spike Data Using Kernel Algorithms
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HPDC
2008
IEEE
16 years 23 days ago
Issues in applying data mining to grid job failure detection and diagnosis
As grid computation systems become larger and more complex, manually diagnosing failures in jobs becomes impractical. Recently, machine-learning techniques have been proposed to d...
Lakshmikant Shrinivas, Jeffrey F. Naughton
OSDI
2000
ACM
15 years 7 months ago
Latency Management in Storage Systems
Storage Latency Estimation Descriptors, or SLEDs, are an API that allow applications to understand and take advantage of the dynamic state of a storage system. By accessing data i...
Rodney Van Meter, Minxi Gao
ICRA
2008
IEEE
145views Robotics» more  ICRA 2008»
16 years 22 days ago
Prediction of heartbeat motion with a generalized adaptive filter
— In order to perform coronary artery bypass graft surgery, a stationary heart is necessary. A human cannot achieve manual tracking of the complex heartbeat motion. Robotics tech...
Timothy J. Franke, Ozkan Bebek, Murat Cenk Cavusog...
ML
2010
ACM
142views Machine Learning» more  ML 2010»
15 years 4 months ago
Fast adaptive algorithms for abrupt change detection
We propose two fast algorithms for abrupt change detection in streaming data that can operate on arbitrary unknown data distributions before and after the change. The first algor...
Daniel Nikovski, Ankur Jain
PROMISE
2010
15 years 1 months ago
On the value of learning from defect dense components for software defect prediction
BACKGROUND: Defect predictors learned from static code measures can isolate code modules with a higher than usual probability of defects. AIMS: To improve those learners by focusi...
Hongyu Zhang, Adam Nelson, Tim Menzies