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Accuracy at the Top     Accuracy at the Top       font style='font-size:12px;'> 2015/7/9
We introduce a new notion of classification accuracy based on the top tau-quantile values of a scoring function, a relevant criterion in a number of problems arising for search engines. We de...
Scientists often use a paired comparison of the areas under the receiver operating characteristic curves to decide which continuous cancer screening test has the best diagnostic accuracy. In the paire...
Wireless sensor networks are composed of dis-tributed sensors that can be used for signal detection or classification. The likelihood functions of the hypotheses are often not known in advance, and de...
Student's t statistic is nding applications today that were never envisaged when it was introduced more than a century ago. Many of these applications rely on properties, for example robustness aga...
Sparsity-accuracy trade-off in MKL      Sparsity-accuracy  trade-off  MKL        font style='font-size:12px;'> 2010/3/9
We empirically investigate the best trade-off between sparse and uniformly- weighted multiple kernel learning (MKL) using the elastic-net regular- ization on real and simulated datasets. We find tha...
The findings of this research suggest that perceived effort saved is an influential construct that has been overlooked in the current research based on the effort-accuracy framework and should be incl...

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