Logitboost 是一种改进的boosting算法
Logitboost 是一种改进的boosting算法，可以用作参考...
BOOSTING技术资料
📦 资源总数：33
📄 技术文档：1
💻 源代码：138
🔌 电路图：3
提升方法（Boosting），是一种可以用来减小监督式学习中偏差的机器学习算法。面对的问题是迈可·肯斯（MichaelKearns）提出的：一组“弱学习者”的集合能否生成一个“强学习者”？弱学习者一般是指一个分类器，它的结果只比随机分类好一点点；强学习者指分类器的结果非常接近真值。
🔥 BOOSTING热门资料
查看全部33个资源 »关于on-line boosting的gradient feature selection的介绍
关于on-line boosting的gradient feature selection的介绍...
基于boosting的人脸检测的matlab实现
基于boosting的人脸检测的matlab实现...
AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yo
AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project the...
AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yo
AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project the...
📄 BOOSTING技术文档
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