搜索资源列表
boosting_demo
- Boost 经典分类器matlab实现，初学者之福音-adaboosting
adaboost
- 神经网络，ADABOOSTING算法，MATLAB-Neural network, ADABOOSTING algorithm, MATLAB
Adaboosting
- Adboosting算法的c++实现，不错的一个实现。可供参考-Adboosting algorithm，c++ implementation, a good implementation. Reference please
Adaboost
- 基于matlab的adaboosting算法的实现-Based on the matlab adaboosting algorithm implementation
BP-Adaboosting
- Adaboosting算法结合BP神经网络，进行强学习预测，预测精度极高-Adaboosting algorithm combined with BP neural network for forecasting strong learning, high prediction accuracy
fdtool
- 利用局部二位模式和haar特征进行人脸或目标识别。-This toolbox provides some tools for objects/faces detection using Local Binary Patterns (and some variants) and Haar features. Object/face detection is performed by evaluating trained models over multi-scan windows with
adaboost
- matalb adaboosting的算法应用-matlab of adaboosting。
Adaboosting
- Adaboosting算法的python实现，并在数据集上进行测试-Adaboosting algorithm Python implementation, and tested in a data set
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.)