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NIPS
2001
13 years 11 months ago
On the Generalization Ability of On-Line Learning Algorithms
In this paper, it is shown how to extract a hypothesis with small risk from the ensemble of hypotheses generated by an arbitrary on-line learning algorithm run on an independent an...
Nicolò Cesa-Bianchi, Alex Conconi, Claudio ...
ASPLOS
2006
ACM
14 years 1 months ago
Accurate and efficient regression modeling for microarchitectural performance and power prediction
We propose regression modeling as an efficient approach for accurately predicting performance and power for various applications executing on any microprocessor configuration in a...
Benjamin C. Lee, David M. Brooks
CORR
2008
Springer
178views Education» more  CORR 2008»
13 years 9 months ago
Model-Based Compressive Sensing
Compressive sensing (CS) is an alternative to Shannon/Nyquist sampling for acquisition of sparse or compressible signals that can be well approximated by just K N elements from a...
Richard G. Baraniuk, Volkan Cevher, Marco F. Duart...
ISF
2010
164views more  ISF 2010»
13 years 7 months ago
An SVM-based machine learning method for accurate internet traffic classification
Accurate and timely traffic classification is critical in network security monitoring and traffic engineering. Traditional methods based on port numbers and protocols have proven t...
Ruixi Yuan, Zhu Li, Xiaohong Guan, Li Xu
IJSNET
2008
115views more  IJSNET 2008»
13 years 9 months ago
Event-driven sensor deployment using self-organizing maps
: Coverage is an important optimization objective in pre and post-deployment stage of a Wireless Sensor Network (WSN). In this paper, we address the issue of placing a finite set o...
Cris Koutsougeras, Yi Liu, Rong Zheng