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ECML
2005
Springer
16 years 9 days ago
Error-Sensitive Grading for Model Combination
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
Surendra K. Singhi, Huan Liu
MTA
2007
72views more  MTA 2007»
15 years 6 months ago
An improved variable-size block-matching algorithm
In this paper, we proposed an improved “bottom-up” variable-size block matching method. Different from previous work, the proposed method does not need any threshold during th...
Haifeng Wang, Qingshan Liu, Hanqing Lu
CCGRID
2001
IEEE
15 years 10 months ago
NwsAlarm: A Tool for Accurately Detecting Resource Performance Degradation
End-users of high-performance computing resources have come to expect that consistent levels of performance be delivered to their applications. The advancement of the Computationa...
Chandra Krintz, Richard Wolski
GRID
2004
Springer
16 years 4 days ago
DiPerF: An Automated DIstributed PERformance Testing Framework
We present DiPerF, a distributed performance-testing framework, aimed at simplifying and automating service performance evaluation. DiPerF coordinates a pool of machines that test...
Catalin Dumitrescu, Ioan Raicu, Matei Ripeanu, Ian...
USENIX
2004
15 years 8 months ago
Multihoming Performance Benefits: An Experimental Evaluation of Practical Enterprise Strategies
Multihoming is increasingly being employed by large enterprises and data centers as a mechanism to extract good performance from their provider connections. Today, multihomed end-...
Aditya Akella, Srinivasan Seshan, Anees Shaikh