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Logistic_chaos
- 产生Logistic混沌时间序列的matlab程序-have Logistic chaotic time series Matlab procedures
libsvm-2.89
- 是一種線性方成的分類器。SVM透過統計的方式將雜亂的資料以NN的方式分成兩類，以便處理。LIBLINEAR is a linear classifier for data with millions of instances and features. It supports L2-regularized logistic regression (LR), L2-loss linear SVM, and L1-loss linear SVM. -Main features of LIBLINEA
mlclass-ex2
- 斯坦福大学机器学习公开课程第二讲matlab实现作业--逻辑回归。-Stanford Machine Learning public speaking courses matlab achieve second job- logistic regression.
mlclass-ex3
- 斯坦福大学机器学习公开课程第三讲matlab实现作业--多逻辑回归和神经网络表示。-Stanford Machine Learning public speaking courses third matlab realize the job- and more logistic regression and neural network representation.
logistic_regression
- 利用逻辑回归实现二分类的matlab程序。随机生成训练样本，利用梯度下降法进行训练，并且在样本图上画出了分类边界。-Logistic regression for binary classification matlab procedures. Randomly generated training samples, the training using the gradient descent method, and is shown in Figure on the sample class
project2_code
- 这是matlab编写的Logistic Discrimination 和 KNN分类器代码。这两个算法的实现参考了《Introduction to Machine Learning》。 除此在代码中还包含了调用matlab自带的libsvm的例程。rumLogisticDiscrimination， runKnn， runSvm分别对这3个算法在数据集liver_train_data上的分类准确度进行测试。测试结果在code report.doc 中有简要描述。-This code implem
libORF-master
- 针对各种机器学习，深度学习领域的一个matlab工具包-A machine learning library focused on deep learning.Following algorithms and models are provided along with some static utility classes: - Naive Bayes, Linear Regression, Logistic Regression, Softmax Regression, Linear S
Chaotic-Systems-Toolbox
- 相空间重构的matlab实现工具包，适合初学者使用-This toolbox contains a set of functions which can be used to simulate some of the most known chaotic systems, such as: - The Henon map - The Ikeda map - The Logistic map - The quadratic map - The Lorentz fl
knn_logistic_naiveBayes
- 统计机器学习经典分类算法MATLAB代码，付数据集。包括knn算法，逻辑斯蒂回归和朴素贝叶斯算法。-Classical statistical machine learning classification algorithm MATLAB code, pay dataset. Including knn algorithm, logistic regression and naive Bayes algorithm.