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multiboost-0.71.src.tar
- MultiBoost 是c++实现的多类adaboost酸法。与传统的adaboost算法主要解决二类分类问题不同,MultiBoost解决的是多类的分类问题,而并不是把多类转化成二类问题。-MultiBoost is a C++ implementation of the multi-class AdaBoost algorithm. AdaBoost is a powerful meta-learning algorithm commonly used in machine learning
multiboost-0.61.src.tar
- Adaboost实现,主要用于机器学习的多分类器聚合, 最终形成分类效果逐渐增强的分类器-Adaboost implementation, is mainly used for machine learning, multiple classifier aggregation, the final shape classification results show a gradual increase of the classifier
MultiBoost
- 对多个数据进行归类。把数据按照不同的属性进行归类,并且使归类的精确度越高越好。(Classify multiple data. Classify data according to different attributes, and make the accuracy of classification better.)