The Importance of Knowing When to Stop
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[1] Anne-Laure Boulesteix,et al. Stability Investigations of Multivariable Regression Models Derived from Low- and High-Dimensional Data , 2011, Journal of biopharmaceutical statistics.
[2] J. Friedman. Greedy function approximation: A gradient boosting machine. , 2001 .
[3] Torsten Hothorn,et al. Identifying Risk Factors for Severe Childhood Malnutrition by Boosting Additive Quantile Regression , 2011 .
[4] Yoav Freund,et al. Experiments with a New Boosting Algorithm , 1996, ICML.
[5] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[6] T Hothorn,et al. Weight estimation by three‐dimensional ultrasound imaging in the small fetus , 2008, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.
[7] Torsten Hothorn,et al. Model-based Boosting 2.0 , 2010, J. Mach. Learn. Res..
[8] Trevor Hastie. Comment: Boosting Algorithms: Regularization, Prediction and Model Fitting , 2007 .
[9] T. Wassink,et al. Statistical Epistasis and Progressive Brain Change in Schizophrenia: An Approach for Examining the Relationships Between Multiple Genes , 2011, Molecular Psychiatry.
[10] P. Bühlmann,et al. Boosting With the L2 Loss , 2003 .
[11] H. Akaike. A new look at the statistical model identification , 1974 .
[12] B. Yu,et al. Boosting with the L 2-loss regression and classification , 2001 .
[13] David Mease,et al. Evidence Contrary to the Statistical View of Boosting , 2008, J. Mach. Learn. Res..
[14] M. Schimek. Penalized binary regression for gene expression profiling. , 2004, Methods of information in medicine.
[15] J. Wyatt,et al. Commentary: Prognostic models: clinically useful or quickly forgotten? , 1995 .
[16] Peter Buhlmann,et al. BOOSTING ALGORITHMS: REGULARIZATION, PREDICTION AND MODEL FITTING , 2007, 0804.2752.
[17] M Schumacher,et al. An Experimental Evaluation of Boosting Methods for Classification , 2010, Methods of Information in Medicine.
[18] Marcel Dettling,et al. BagBoosting for tumor classification with gene expression data , 2004, Bioinform..
[19] R. Spang,et al. Predicting the clinical status of human breast cancer by using gene expression profiles , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[20] S. Greven,et al. On the behaviour of marginal and conditional AIC in linear mixed models , 2010 .
[21] J. Copas. Regression, Prediction and Shrinkage , 1983 .
[22] Torsten Hothorn,et al. Prediction intervals for future BMI values of individual children - a non-parametric approach by quantile boosting , 2012, BMC Medical Research Methodology.
[23] B. Efron. Biased Versus Unbiased Estimation , 1975 .
[24] Harald Binder,et al. Adapting Prediction Error Estimates for Biased Complexity Selection in High-Dimensional Bootstrap Samples , 2008, Statistical applications in genetics and molecular biology.
[25] Benjamin M. Bolstad,et al. Preprocessing High-density Oligonucleotide Arrays , 2005 .
[26] Trevor Hastie,et al. The Elements of Statistical Learning , 2001 .
[27] Ivan ChangYuan-Chin,et al. Early stopping in L 2 Boosting , 2010 .
[28] S. Dudoit,et al. Stage II colon cancer prognosis prediction by tumor gene expression profiling. , 2006, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[29] Schumacher Martin,et al. Adapting Prediction Error Estimates for Biased Complexity Selection in High-Dimensional Bootstrap Samples , 2008 .
[30] J. Davis. Bioinformatics and Computational Biology Solutions Using R and Bioconductor , 2007 .
[31] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[32] Peter Bühlmann,et al. Boosting for Tumor Classification with Gene Expression Data , 2003, Bioinform..