Small-Sample Error Estimation for Bagged Classification Rules

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Small-Sample Error Estimation for Bagged Classification Rules

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im September 2010 veröffentlichter wissenschaftlicher Artikel

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wetenschappelijk artikel

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наукова стаття, опублікована у вересні 2010

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Small-Sample Error Estimation for Bagged Classification Rules

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Small-Sample Error Estimation for Bagged Classification Rules

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Small-Sample Error Estimation for Bagged Classification Rules

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Small-Sample Error Estimation for Bagged Classification Rules

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Small-Sample Error Estimation for Bagged Classification Rules

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Small-Sample Error Estimation for Bagged Classification Rules

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P1476

Small-Sample Error Estimation for Bagged Classification Rules

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P2093

T. T. Vu

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U. M. Braga-Neto

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P2860

Random Forests

Using decision forest to classify prostate cancer samples on the basis of SELDI-TOF MS data: assessing chance correlation and prediction confidence.

Gene expression profiling predicts clinical outcome of breast cancer

A gene-expression signature as a predictor of survival in breast cancer

Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses

Comparison of statistical methods for classification of ovarian cancer using mass spectrometry data.

The SELDI-TOF MS approach to proteomics: protein profiling and biomarker identification.

Application of the random forest classification algorithm to a SELDI-TOF proteomics study in the setting of a cancer prevention trial.

Proteomic mass spectra classification using decision tree based ensemble methods.

Prediction of clinical drug efficacy by classification of drug-induced genomic expression profiles in vitro

P2888

548906

P31

scholarly article

P356

10.1155/2010/548906

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P433

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P478

2010

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P577

2010-09-30T00:00:00Z

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P6179

1034718648

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