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ICML
2002
IEEE
15 years 10 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
74
Voted
WSC
2004
14 years 11 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
15 years 1 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»
13 years 9 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
14 years 7 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