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adaboost
- 数据挖掘 adaboost算法 java 实现分类问题回归问题 处理离散变量。连续变量-Data mining java adaboost algorithms Deal with regression, classification Handling discrete variables, continuous variables
adaboost
- 机器学习算法，利用adaboost元算法提高分类性能，处理非均衡分类问题-Machine learning algorithm, using adaboost element algorithm to improve the classification performance, handling classification problems disequilibrium
adaboost
- 基于bp-adaboost的强分类器设计 -公司财务预警建模-Based bp-adaboost strong classifier design modeling - Financial Crisis Warning
adaboost_version1e
- 一个简单的adaboost分类的方法。随机生成两组数据，训练分类器。之后再生成两组数据进行分类。效果很好-A simple way adaboost classification. Randomly generated two sets of data, to train a classifier. After re-generate two sets of data classification. Good results
HaarPAdaBoost
- Haar+AdaBoost分类器训练总结-Haar+ AdaBoost classifier training summary
AdaBoost
- Adaboost是一种迭代算法，其核心思想是针对同一个训练集训练不同的分类器(弱分类器)，然后把这些弱分类器集合起来，构成一个更强的最终分类器（强分类器）。-Adaboost is an iterative algorithm, the core idea is the same training set for training different classifiers (weak classifiers), then these weak classifiers together to f
AdaBoost
- 加强树算法的一个实例，最后取得了很好的分类结果，便于推广，分类器的代码可以根据实际进行更改。-Strengthen an instance tree algorithm, finally achieved good classification results, easy to promote, classification code can actually make changes.
Adaboost
- Adaboost是一种迭代算法,其核心思想是针对同一个训练集训练不同的分类器(弱分类器),然后把这些弱分类器集合起来,构成一个更强的最终分类器-Adaboost is an iterative algorithm, the core idea is the same training set for different classifiers (weak classifiers), and then set up these weak classifiers to form a stronger
Adaboost
- Adaboost是一种迭代算法,其核心思想是针对同一个训练集训练不同的分类器(弱分类器),然后把这些弱分类器集合起来,构成一个更强的最终分类器-Adaboost is an iterative algorithm, the core idea is the same training set for different classifiers (weak classifiers), and then set up these weak classifiers to form a stronger
adaboost
- 一种基于boosting方法的分类器，有很好的分类效果-Based on boosting method of classification, a very good classification results
Classifier_adaboost
- adaboost分类算法，用于两类成员的区分-AdaBoost classification algorithm for the distinction between the two categories of members
Test_AdaBoost_Example
- 简单的AdaBoost分类器的例子,测试效果-a simple adaboost example
adaboost-and-rbf
- 随机森林算法在图像特征分类回归中的应用，通过结合神经网络进行更好的特征数据处理-Application of random forest algorithm in image classification and regression, better features by combining neural networks data processing
3-dimensions-adaboost
- 将弱分类器连接成强分类器算法，这里的创新点是可以用在三维数据上，适合初学者研究其编写过程。-The weak classifiers into strong classifier, where innovation can be used on a three dimensional data, prepared for beginners to study the process.
BP-Adaboost
- 基于BP-Adaboost强分类器的公司财务预警建模-Financial Early Warning modeling firm based BP-Adaboost strong classifier
RandomForestaAdaBoost
- 随机森林，决策树以及adaboost分类器的java实现。随机森林和adaboost都基于决策树完成。-Random forests, tree and adaboost classifier java. Random Forest and adaboost are based on the decision tree is complete.
Adaboost
- 用于分类，二类甚至多类。AdaBoost是Boosting的提升，功能非常的显著-For classification, Class II even more. Boosting AdaBoost is lift, which is very significant
Demo-Adaboost-Facial-Expression
- 人脸表情识别的一个Demo，采用Gabor滤波器提取特征，用Adaboost算法进行分类-A Demo facial expression recognition using Gabor filter feature extraction using Adaboost algorithm to classify
Adaboost
- 基于AdaBoost的面部图像男女性别分类-Based on AdaBoost face image male and female sex
FaceDect-master
- 基于增强Adaboost分类器人脸检测，效果很不错！值得借鉴！-Enhanced Adaboost classifier based on face detection, the effect is very good! Worth learning!