Titlebook: Ensemble Machine Learning; Methods and Applicat Cha Zhang,Yunqian Ma Book 2012 Springer Science+Business Media, LLC 2012 Bagging Predictors

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書目名稱Ensemble Machine Learning影響因子(影響力)




書目名稱Ensemble Machine Learning影響因子(影響力)學科排名




書目名稱Ensemble Machine Learning網(wǎng)絡(luò)公開度




書目名稱Ensemble Machine Learning網(wǎng)絡(luò)公開度學科排名




書目名稱Ensemble Machine Learning被引頻次




書目名稱Ensemble Machine Learning被引頻次學科排名




書目名稱Ensemble Machine Learning年度引用




書目名稱Ensemble Machine Learning年度引用學科排名




書目名稱Ensemble Machine Learning讀者反饋




書目名稱Ensemble Machine Learning讀者反饋學科排名

補角

Book 2012is volume offers comprehensive coverage of state-of-the-art ensemble learning techniques, including the random forest skeleton tracking algorithm in the Xbox Kinect sensor, which bypasses the need for game controllers. At once a solid theoretical study and a practical guide, the volume is a windfall for researchers and practitioners alike..

HEED

978-1-4899-8817-1Springer Science+Business Media, LLC 2012

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The Sales Sat Nav for Media Consultantsny of the simple classifiers alone. A . (WL) is a learning algorithm capable of producing classifiers with probability of error strictly (but only slightly) less than that of random guessing (0.5, in the binary case). On the other hand, a . (SL) is able (given enough training data) to yield classifiers with arbitrarily small error probability.

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繞著哥哥問

https://doi.org/10.1007/b106381ithm which considers the cooperation and interaction among the ensemble members. NCL introduces a correlation penalty term into the cost function of each individual learner so that each learner minimizes its mean-square-error (MSE) error together with the correlation with other ensemble members.

繞著哥哥問

PALL

Targeted Learning,probability distributions .. One refers to . as the statistical model for .. We consider so called semiparametric models that cannot be parameterized by a finite dimensional Euclidean vector. In addition, suppose that our target parameter of interest is a parameter ., so that ψ. = .(.) denotes the parameter value of interest.

撫慰

Ensemble Learning by Negative Correlation Learning,ithm which considers the cooperation and interaction among the ensemble members. NCL introduces a correlation penalty term into the cost function of each individual learner so that each learner minimizes its mean-square-error (MSE) error together with the correlation with other ensemble members.

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