منابع مشابه
Boosting
Boosting is a kind of ensemble methods which produce a strong learner that is capable of making very accurate predictions by combining rough and moderately inaccurate learners (which are called as base learners or weak learners). In particular, Boosting sequentially trains a series of base learners by using a base learning algorithm, where the training examples wrongly predicted by a base learn...
متن کاملOutlier Detection by Boosting Regression Trees
A procedure for detecting outliers in regression problems is proposed. It is based on information provided by boosting regression trees. The key idea is to select the most frequently resampled observation along the boosting iterations and reiterate after removing it. The selection criterion is based on Tchebychev’s inequality applied to the maximum over the boosting iterations of ...
متن کاملMultiple Boosting : A Combination of Boosting
Classiier committee learning approaches have demonstrated great success in increasing the prediction accuracy of classiier learning , which is a key technique for datamining. It has been shown that Boosting and Bagging, as two representative methods of this type, can signiicantly decrease the error rate of decision tree learning. Boosting is generally more accurate than Bagging, but the former ...
متن کاملRechargeable Batteries
Purpose: The goal of our battery research is to produce an all solid-state, high performance rechargeable cell. Moving to a liquid-free polymer electrolyte eliminates the need for heavy casing material, thus the energy density is increased significantly. In addition, the absence of solvent additives leads to better thermal and chemical stability, broadening the range of applications for which t...
متن کاملBoosting Recessions
This paper explores the effectiveness of boosting, often regarded as the state of the art classification tool, in giving warning signals of recessions three, six and twelve months ahead. Boosting is used to screen as many as 1500 potentially relevant predictors consisting of 132 real and financial time series and their lags. Estimation over the full sample 1961:1-2011:12 finds that there are fe...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Nature Nanotechnology
سال: 2009
ISSN: 1748-3387,1748-3395
DOI: 10.1038/nnano.2009.309