964 search results - page 40 / 193 » Machine Learning Models to Predict Performance of Computer S... |
CCGRID
2010
IEEE
13 years 10 months ago
2010
IEEE
Abstract--Multi-core processors with accelerators are becoming commodity components for high-performance computing at scale. While accelerator-based processors have been studied in...
ISCA
1997
IEEE
14 years 1 months ago
1997
IEEE
As processor architectures have increased their reliance on speculative execution to improve performance, the importance of accurate prediction of what to execute speculatively ha...
ICONIP
2007
13 years 10 months ago
2007
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...
ML
2010
ACM
13 years 7 months ago
2010
ACM
Image annotation datasets are becoming larger and larger, with tens of millions of images and tens of thousands of possible annotations. We propose a strongly performing method tha...
ML
2002
ACM
13 years 8 months ago
2002
ACM
When simple parametric models such as linear regression fail to adequately approximate a relationship across an entire set of data, an alternative may be to consider a partition o...