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» An Effective Diagnosis Method to Support Yield Improvement
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EPEW
2006
Springer
13 years 11 months ago
Precise Regression Benchmarking with Random Effects: Improving Mono Benchmark Results
Benchmarking as a method of assessing software performance is known to suffer from random fluctuations that distort the observed performance. In this paper, we focus on the fluctua...
Tomás Kalibera, Petr Tuma
ETS
2011
IEEE
212views Hardware» more  ETS 2011»
12 years 7 months ago
Structural Test for Graceful Degradation of NoC Switches
Abstract—Networks-on-Chip (NoCs) are implicitly fault tolerant due to their inherent redundancy. They can overcome defective cores, links and switches. As a side effect, yield is...
Atefe Dalirsani, Stefan Holst, Melanie Elm, Hans-J...
BIBE
2009
IEEE
131views Bioinformatics» more  BIBE 2009»
13 years 10 months ago
Learning Scaling Coefficient in Possibilistic Latent Variable Algorithm from Complex Diagnosis Data
—The Possibilistic Latent Variable (PLV) clustering algorithm is a powerful tool for the analysis of complex datasets due to its robustness toward data distributions of different...
Zong-Xian Yin
LREC
2010
202views Education» more  LREC 2010»
13 years 9 months ago
United we Stand: Improving Sentiment Analysis by Joining Machine Learning and Rule Based Methods
In the past, we have succesfully used machine learning approaches for sentiment analysis. In the course of those experiments, we observed that our machine learning method, althoug...
Vassiliki Rentoumi, Stefanos Petrakis, Manfred Kle...
TITB
2010
138views Education» more  TITB 2010»
13 years 2 months ago
Local structure-based region-of-interest retrieval in brain MR images
The aging population and the growing amount of medical data have increased the need for automated tools in the neurology departments. Although the researchers have been developing ...
Devrim Unay, Ahmet Ekin, Radu S. Jasinschi