搜索资源列表
MAP
- 模式识别中应用的贝叶斯分类器 可以用于分类IRIS数据-Application of pattern recognition Bayesian classifier can be used to classify IRIS data
BPtest
- 利用人工神经网络作为分类器,对输入的EMG信号进行模式分类。-pattern recognition
logRegres
- 《机器学习实战》中logistic回归 其中分类器训练采用的最优化算法为梯度上升法以及改进的随机梯度上升法。-logistic regression
knn-softsvm
- knn,最小二乘,softsvm分类器的matlab实现,以及简单的交叉验证等-knn, least squares, soft svm classifier matlab implementation, and simple cross-validation, etc.
Compression-perception-algorithm
- 神经网络故障诊断,基础贝叶斯分类器,有向图的画法和应用。-Compression perception algorithm
easy_svm
- 通过MATLAB实现基于SVM支持向量机的分类器的设计和仿真-The design and Simulation of the classifier based on SVM support vector machine is realized by MATLAB
machine-learning-ex1
- 在模式识别众多分类器中一种根据收敛性质实现的线性回归模型-In many pattern recognition classifier one according to the convergence property of the linear regression model
pattern-recognition
- 这是介绍手势识别的论文,是对八种手势进行识别,文章有特征提取方法的介绍,结论中得出了分类器分类的结果。-This paper is to introduce gesture recognition, is eight kinds of gesture recognition, feature extraction methods have the article s introduction, the conclusion drawn classifier classification resu
HOGPSVM_opencv_detection
- 在vs2013平台下,利用opencv中的HOG特征加SVM分类器进行车标识别。-In the VS2013 platform, the use of opencv in the HOG feature SVM classifier for vehicle identification.
classification
- 这是一个分类器的代码,可以用于实现一个SVM的分类器从而分类出人体的行为-This is a classification code that can be used to implement a SVM classifier classification of the human body in order to act
perceptron-algorithm-
- 通过感知器算法分类鸢尾花(三类分类),由于感知器算法是二类分类器,所以三类分类需要两两对比。-Classification of iris by perceptron algorithm (three classifications)Since the perceptron algorithm is a class 2 classifier, three classifications require a pairwise comparison.
fisher-classfiyer-(1)
- fisher分类器自己学习编写的第一个分类程序,请赐教。好想多学点东西-fisher classifier learning to write their own first classification program, please enlighten me. Want to learn a lot
SVM
- SVM神经网络中的参数优化 -如何更好的提升分类器的性能-The SVM parameters optimization of neural network- how to better improve the performance of the classifie
ConsoleApplication24
- 自己写的SVM分类器做物体识别,根据自己的训练不同可以识别不同物体-SVM classifier, one can recognize things depends on what you train it
95777978
- SVM文本分类器源程序,英文界面,包含语料,没有解压缩密码,-The SVM classifier source program text, English interface, contains the corpus, not unzip password,
bayes
- 贝叶斯分类器,通过某对象的先验概率,利用贝叶斯公式计算出其后验概率,即该对象属于某一类的概率,选择具有最大后验概率的类作为该对象所属的类。-Bias classifier, by a priori probability of an object, using the Bias formula to calculate the posterior probability, the probability that the object belongs to a certain category,
nklrc
- SVM文本分类器源程序,英文界面,包含语料,没有解压缩密码,-The SVM classifier source program text, English interface, contains the corpus, not unzip password,
bayes
- 能够实现bayes分类器算法,并自带案例(Realize the Bayes Classifer)
分类器
- Contains several common classifier's source code, can be called directly
randomForest_4.6-12.tar
- 在机器学习中,随机森林是一个包含多个决策树的分类器, 并且其输出的类别是由个别树输出的类别的众数而定。 Leo Breiman和Adele Cutler发展出推论出随机森林的算法。 而 "Random Forests" 是他们的商标。 这个术语是1995年由贝尔实验室的Tin Kam Ho所提出的随机决策森林(random decision forests)而来的。这个方法则是结合 Breimans 的 "Bootstrap aggregating" 想法