搜索资源列表
code_about_AdaBoost.rar
- AdaBoost算法中寻找最优阈值分类器的代码优化.htm,AdaBoost algorithm to find the optimal threshold classifier code optimization. Htm
PCA_KNN.rar
- 主成分分析+最近邻分类器，经典的原理介绍论文，可参照。,PCA+ nearest neighbor classifier, the classic paper describes the principle, can refer to.
sasdw.rar
- 现有数字信号自动调制识别方法大多只适用于无记忆信号，如PSK、ASK、FSK信号等。将有记忆 信号(MSK信号)和无记忆信号一起考虑，提出了一种改进的数字信号自动识别方法。该方法采用信号的瞬时统 计量作为特征参数，采用多层神经网络作为分类器。计算机仿真表明：当噪声采用高斯白噪声，并且信噪比大于 l5 dB时，识别率高于96％ ；当信噪比不低于l0 dB时，识别率不低于90％。,Existing digital signal automatic modulation recognition
Haar_boost
- 用Haar特征构建级联分类器的方法，在opencv环境下快速实现级联的adboost-Features with the Haar classifier cascade method of construction, environment, fast implementation in opencv cascade adboost
classification
- 在具有模式的完整统计知识条件下，按照贝叶斯决策理论进行设计的一种最优分类器。分类器是对每一个输入模式赋予一个类别名称的软件或硬件装置，而贝叶斯分类器是各种分类器中分类错误概率最小或者在预先给定代价的情况下平均风险最小的分类器。-In a model under the condition of complete statistical knowledge, in accordance with the Bayesian decision theory to design an optimal c
AMC
- This a very good paper on the implementation of modulation classifier for SDR-This is a very good paper on the implementation of modulation classifier for SDR
Matlab2
- 朴素贝叶斯分类器，使用MATLAB语言编写，对文档进行自动分类-Naive Bayes classifier
simulinkModels
- this is simulink model i use for testing modulation classifier algorithms
add-new-classifier---etc
- How to add a new classifier into weka
Ensemble-Classifier-for-Concept-Drift-Data-Stream
- In this era an emerging filed in the data mining is data stream mining. The current research technique of the data stream is classification which mainly focuses on concept drift data. In mining drift data with the single classifier is not sufficient
knn-classifier
- K-nn ... classifier . It classifies n order data.
A-Novel-FPGA-based-SVM-Classifier
- 基于FPGA的SVM算法实现，文章主要从架构设计和硬件实现方面提供了设计思路，对于SVM的硬件开发特别是FPGA实现有指导意义-A Novel FPGA-based SVM Classifier
Bayesian-classifier
- 本实验基于贝叶斯分类器对采集的微博数据进行情感分析，从中提取出不同的情感类别。-In this study, Bayesian classifier based on the micro-blog sentiment analysis data were collected, extracted from different emotional categories.
Improving-Support-Vector-Machine-classifier
- Improving Support Vector Machine classifier with differentkernel function for plant diseases detection1
Improving-Support-Vector-Machine-classifier-with-
- Improving Support Vector Machine classifier with different kernel function for plant diseases detection v 2
Improving-Support-Vector-Machine-classifier-with-
- Improving Support Vector Machine classifier with different kernel without figure
Segmentation-of-Brain-Tumour-by-SVM-Classifier-Te
- ppt for braintumour classification using svm classifier
Neural-network-classifier
- 神经网络分类器，利用神经网络的学习能力，可以用神经网络实现任意精度的曲线，从而可以将曲线两边的不同对象区别开。-Neural network classifier, neural network learning ability can be used to achieve any degree of accuracy of the neural network curve to distinguish different objects can be opened on both sides
knn-svm classifier
- Face recognition system using k-nearest neighbour and support vector machine as classifier
classifier
- 一些分类器尝试，包括SVM，KNN，自带树与adaboost或者bagging结合等。(Some classifiers test,such as SVM,KNN,etc, including test data. Only some of the methods are included in the main.m.)