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Description: 分类算法，采用bagging方法来选择训练集，《机器学习及java实现》里面的
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Size: 3480 |
Author: 王新 |
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Description: Description: FASBIR(Filtered Attribute Subspace based Bagging with Injected Randomness) is a variant of Bagging algorithm, whose purpose is to improve accuracy of local learners, such as kNN, through multi-model perturbing ensemble.
Reference: Z.-H. Zhou and Y. Yu. Ensembling local learners through multimodal perturbation. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 2005, vol.35, no.4, pp.725-735.
-Description: FASBIR(Filtered Attribute Subspace based Bagging with Injected Randomness) is a variant of Bagging algorithm, whose purpose is to improve accuracy of local learners, such as kNN, through multi-model perturbing ensemble. Reference: Z.-H. Zhou and Y. Yu. Ensembling local learners through multimodal perturbation. IEEE Transactions on Systems, Man, and Cybernetics- Part B: Cybernetics, 2005, vol.35, no.4, pp.725-735
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Size: 103424 |
Author: 修宇 |
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Description: 在weak环境下的knn算法开发
具体需要的说明都在文件包中-weak environment in the Commission algorithm development specific needs of the note in the paper bag
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Size: 57344 |
Author: 代风 |
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Description: 分类算法，采用bagging方法来选择训练集，《机器学习及java实现》里面的-Classification algorithm, using bagging method to select the training set, the realization of machine learning and java inside
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Size: 3072 |
Author: 王新 |
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Description: 由于这段时间一直在学习ADABOOST，还在学习阶段，这是本人学习中所汇总的相关资料，希望会对各位有所帮助-Because this period has been learning ADABOOST, still learning stage, this is my summary of the study by the relevant information, I hope you will help
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Size: 39090176 |
Author: 朱朱 |
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Description: 用Java实现的机器学习中的集成学习算法-Java implementation of integrated machine learning algorithms to learn
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Size: 1024 |
Author: aiko |
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