搜索结果: 1-7 共查到“数理统计学 boosting”相关记录7条 . 查询时间(0.081 秒)
Boosting as a Regularized Path to a Maximum Margin Classifier
boosting regularized optimization support vector machines margin maximization
2015/8/21
In this paper we study boosting methods from a new perspective. We build on recent work by Efron et al. to show that boosting approximately (and in some cases exactly) minimizes its loss criterion wit...
We congratulate the authors for their interesting papers on boosting and related topics. Jiangdeals with the asymptotic consistency of Adaboost. Lugosi and Vayatis study the convex optimization of los...
NEW MULTICATEGORY BOOSTING ALGORITHMS BASED ON MULTICATEGORY FISHER-CONSISTENT LOSSES
MULTICATEGORY BOOSTING ALGORITHMS MULTICATEGORY FISHER-CONSISTENT LOSSES
2015/8/21
Fisher-consistent loss functions play a fundamental role in the construction of successful binary margin-based classifiers. In this paper we establish the Fisher-consistency condition for multicategor...
Response to Mease and Wyner,Evidence Contrary to the Statistical View of Boosting
Mease and Wyner Evidence Contrary Statistical View
2015/8/21
This is an interesting and thought-provoking paper. We especially appreciate the fact that the authors have supplied R code for their examples, as this allows the reader to understand and assess their...
BOOSTING ALGORITHMS:REGULARIZATION,PREDICTION AND MODEL FITTING
Generalized linear models Generalized additive models Gradient boosting Survival analysis Variable selection Software
2015/8/21
We present a statistical perspective on boosting. Special emphasis is given to estimating potentially complex parametric or nonparametric models, including generalized linear and additive models as we...
Comment:Boosting Algorithms:Regularization,Prediction and Model Fitting
Boosting Algorithms Regularization Prediction Model Fitting
2015/8/21
We congratulate the authors (hereafter BH) for an interesting take on the boosting technology, and for developing a modular computational environment in R for exploring their models. Their use of low-...