Boosting Classifiers with Tightened L0-Relaxation Penalties (ICML 2010) Noam Goldberg, Jonathan Eckstein [Paper] Boosting for Regression Transfer (ICML 2010) David Pardoe, Peter Stone [Paper] [Code] Boosted Back
即Bagging方法Combine the prediction of different hypothesis by some sort of voting是一种分类器结合的方法1.1 源起1.1.2 BootstrapBagging方法是Bootstrap思想的一种应用Bootstrap EstimationRepeatedly draw n samples from DFor each set of samples, estimate a statisticThe bootstrap estimate is the mean of ...
where no distributional assumption on the effect sizes is made. Although limited from the computational perspective due to the extremely high-dimensional data in GWAS, high-dimensional linear regression is a natural model for GWAS in modelling the whole-genome level contributions of genetic variation...
which investigates the benefits of co-boosting (i.e., the integration of co-training and boosting) and semi-supervised learning in the online tracking process. Existing discriminative tracking algorithms often use the classification results to update the classifier itself. However, the classification...