Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form a strong classifier. Adaptive Boosting (Adaboost) implements this idea as a greedy search for a linear combination of classifiers by overweighting the examples that are misclassified by each classifier. icsiboost implements Adaboost over stumps (one-level decision trees) on discrete and continuous attributes (words and real values). See http://en.wikipedia.org/wiki/AdaBoost and the papers by Y. Freund and R. Schapire for more details [1]. This approach is one of most efficient and simple to combine continuous and nominal values. Our implementation is aimed at allowing training from millions of examples by hundreds of features in a reasonable time/memory.
標簽： meta-learning classifiers combining Boosting
上傳時間： 2016-01-30
上傳用戶：songnanhua
The program implements three large-margin thresholded ensemble algorithms for ordinal regression. It includes an improved RankBoost algorithm, the ORBoost-LR algorithm, and the ORBoost-All algorithm.
標簽： large-margin thresholded implements algorithms
上傳時間： 2014-10-28
上傳用戶：zhichenglu
An+ensemble learning approach to independent component analysis
標簽： independent component ensemble approach
上傳時間： 2013-11-28
上傳用戶：sdq_123
Et voil脿, nous sommes partis ensemble pour cette grande aventure qu鈥檈st la programmation des PIC part1
標簽： programmation ensemble aventure grande
上傳時間： 2014-01-13
上傳用戶：ardager
Et voil脿, nous sommes partis ensemble pour cette grande aventure qu鈥檈st la programmation des PIC PART2
標簽： programmation ensemble aventure grande
上傳時間： 2017-03-12
上傳用戶：亞亞娟娟123
Et voil脿, nous sommes partis ensemble pour cette grande aventure qu鈥檈st la programmation des PIC PART4
標簽： programmation ensemble aventure grande
上傳時間： 2013-12-12
上傳用戶：xz85592677
Et voil脿, nous sommes partis ensemble pour cette grande aventure qu鈥檈st la programmation des PIC PART4
標簽： programmation ensemble aventure grande
上傳時間： 2017-03-12
上傳用戶：chens000
ensemble classifier example
標簽： classifier ensemble example
上傳時間： 2013-11-29
上傳用戶：縹緲
Programs for extracting FIC and MSC data from real broadcasted ensemble recorded as a data file.
標簽： data broadcasted extracting Programs
上傳時間： 2017-07-06
上傳用戶：大融融rr
The matlab code implements the ensemble of decision tree classifiers proposed in: "L. Nanni and A. Lumini, Input Decimated ensemble based on Neighborhood Preserving Embedding for spectrogram classification, Expert Systems With Applications doi:10.1016/j.eswa.2009.02.072 "
標簽： L. A. classifiers implements
上傳時間： 2017-08-02
上傳用戶：無聊來刷下
