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ICML
2002
IEEE
14 years 5 months ago
Is Combining Classifiers Better than Selecting the Best One
We empirically evaluate several state-of-theart methods for constructing ensembles of heterogeneous classifiers with stacking and show that they perform (at best) comparably to se...
Saso Dzeroski, Bernard Zenko
WSC
2004
13 years 6 months ago
Better Selection of the Best
We present a new method of selecting the best of several competing system designs on the basis of expected steadystate performance. The method uses a new form of timeseries bootst...
Huaiyu Harry Ma, Thomas R. Willemain
COCOON
2009
Springer
13 years 8 months ago
Optimal Transitions for Targeted Protein Quantification: Best Conditioned Submatrix Selection
Multiple reaction monitoring (MRM) is a mass spectrometric method to quantify a specified set of proteins. In this paper, we identify a problem at the core of MRM peptide quantific...
Rastislav Srámek, Bernd Fischer, Elias Vica...
ENASE
2011
219views Hardware» more  ENASE 2011»
12 years 4 months ago
Mutation Selection: Some Could be Better than All
In previous research, many mutation selection techniques have been proposed to reduce the cost of mutation analysis. After a mutant subset is selected, researchers could obtain a t...
Zhiyi Zhang, Dongjiang You, Zhenyu Chen, Yuming Zh...
EMNLP
2009
13 years 2 months ago
Less is More: Significance-Based N-gram Selection for Smaller, Better Language Models
The recent availability of large corpora for training N-gram language models has shown the utility of models of higher order than just trigrams. In this paper, we investigate meth...
Robert C. Moore, Chris Quirk