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137
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NN
2006
Springer
163views Neural Networks» more  NN 2006»
15 years 3 months ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine
134
Voted
WCW
2004
Springer
15 years 9 months ago
Bottlenecks and Their Performance Implications in E-commerce Systems
Abstract. We present a detailed workload characterization of a multi-tiered system that hosts an e-commerce site. Using the TPC-W workload and via experimental measurements, we ill...
Qi Zhang, Alma Riska, Erik Riedel, Evgenia Smirni
USENIX
1994
15 years 5 months ago
Reducing File System Latency using a Predictive Approach
Despite impressive advances in file system throughput resulting from technologies such as high-bandwidth networks and disk arrays, file system latency has not improved and in many...
Jim Griffioen, Randy Appleton
132
Voted
EXPCS
2007
15 years 7 months ago
Introducing entropies for representing program behavior and branch predictor performance
Predictors are inherent components of state-of-the-art microprocessors. Branch predictors are discussed actively from diverse perspectives. Performance of a branch predictor large...
Takashi Yokota, Kanemitsu Ootsu, Takanobu Baba
148
Voted
PDPTA
2007
15 years 5 months ago
Multiple Networks for Heterogeneous Distributed Applications
Abstract - We have experienced in our distributed applications that the network is the main limiting factor for performances on clusters. Indeed clusters are cheap and it is easier...
Sylvain Jubertie, Emmanuel Melin