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» Measuring empirical computational complexity
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INFSOF
2007
139views more  INFSOF 2007»
15 years 6 months ago
Predicting software defects in varying development lifecycles using Bayesian nets
An important decision problem in many software projects is when to stop testing and release software for use. For many software products, time to market is critical and therefore ...
Norman E. Fenton, Martin Neil, William Marsh, Pete...
CIKM
2010
Springer
15 years 4 months ago
Mining interesting link formation rules in social networks
Link structures are important patterns one looks out for when modeling and analyzing social networks. In this paper, we propose the task of mining interesting Link Formation rules...
Cane Wing-ki Leung, Ee-Peng Lim, David Lo, Jianshu...
TJS
2010
182views more  TJS 2010»
15 years 4 months ago
A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
Yasser Yasami, Saadat Pour Mozaffari
TSP
2010
15 years 1 months ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic
DAC
2006
ACM
15 years 8 months ago
A fast HW/SW FPGA-based thermal emulation framework for multi-processor system-on-chip
With the growing complexity in consumer embedded products and the improvements in process technology, Multi-Processor SystemOn-Chip (MPSoC) architectures have become widespread. T...
David Atienza, Pablo Garcia Del Valle, Giacomo Pac...