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ICDM
2003
IEEE
220views Data Mining» more  ICDM 2003»
14 years 1 months ago
Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining
Predictive data mining typically relies on labeled data without exploiting a much larger amount of available unlabeled data. The goal of this paper is to show that using unlabeled...
Kang Peng, Slobodan Vucetic, Bo Han, Hongbo Xie, Z...
LCN
2003
IEEE
14 years 29 days ago
PURPLE: Predictive Active Queue Management Utilizing Congestion Information
Active Queue Management (AQM) is an attempt to find a delicate balance between two antagonistic Internet queuing requirements: First, buffer space should be maximized to accommod...
Roman Pletka, Marcel Waldvogel, Soenke Mannal
HPCN
1998
Springer
13 years 12 months ago
Application Execution Steering using On-the-Fly Performance Prediction
The execution of an application on a high performance system requires parameters concerning the problem in hand, and those that determine the system mapping, to be specified by a ...
Darren J. Kerbyson, Efstathios Papaefstathiou, Gra...
NETWORKING
2007
13 years 9 months ago
On-Line Predictive Load Shedding for Network Monitoring
Building robust network monitoring applications is hard given the unpredictable nature of network traffic. Complex analysis on streaming network data usually leads to overload situ...
Pere Barlet-Ros, Diego Amores-López, Gianlu...
NIPS
2007
13 years 9 months ago
Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression
We propose a method for reconstruction of human brain states directly from functional neuroimaging data. The method extends the traditional multivariate regression analysis of dis...
Sennay Ghebreab, Arnold W. M. Smeulders, Pieter W....