搜索资源列表
adaboost_M1
- Adaboosting learning approach is very powerful method to learn weights
boosting
- R语言解决机器学习中关于AdaBoosting算法的代码。-about the AdaBoosting in machine learning, using R language
adaboost
- 使用adaboosting算法来实现人脸识的功能-adaboosting face recognition algorithm
Boosting
- 分类，用于对数据进行归类。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。(Classification; used to classify data. Classify data according to different attributes, and make the accuracy of classification better.)
EntropyBoost
- 用于对数据进行归类。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。(used to classify data. Classify data according to different attributes, and make the accuracy of classification better.)
FloatBoost
- 对数据进行归类。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 data. Classify data according to different attributes, and make the accuracy of classification better.)
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.)
RealBoost
- 实时数据进行归类。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。(Real time data is classified. Classify data according to different attributes, and make the accuracy of classification better.)
speech - Copy
- detection and estimation of noise in speech process