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机器学习大牛周志华教授的关于“整体学习”的文章算法的实现。整体学习可以提高学习机器的推广能力。(Ensemble learning aims to improve generalization ability by using multiple base learners. It is well-known that to construct a good ensemble, the base learners should be accurate as well as diverse.)

该源代码是粗糙集属性约简，适用环境为matlab，属于常规属性约简(The source code is rough set attribute reduction, for the environment for matlab, part of the regular attribute reduction)

Function to calculate the principal curvatures on a triangular mesh. Approximations of curvature are based on local (N=1) neighborhood elements and vertices. Note: Directions of curvatures aren t calculated appropriately. Will post an updated version once this is implemented. Note that calculations at vertices with few adjacent triangles, and hence few adjacent vertices, are expanded to a greater neighborhood. Reference: 1) Chen and Schmitt (1992) Intrinsic surface properties from surface triangulation 2) Dong et al. (2005) Curvature estimation on triangular mesh, JZUS This code makes use of routines: buildInverseTriangualtion.m & removeDO.m initially written by: David Gringas. He is gratefully acknowledged

说明：  关于wimax中OFDM的matlab代码实现，很详细的哦！(On wimax in the matlab code OFDM, in great detail Oh!)

数字 图像处理特征提取 非常详细，推荐学习下载(Feature point extraction with matlab performance)

用matlab进行小波分析，代码中有关于小波分析的高级技术(Advanced Technology on wavelet analysis wavelet analysis using matlab code)

说明：  Model predictive control basic concepts

EM 算法是求参数极大似然估计的一种方法，它可以从非完整数据集中对参数进行估计，是一种非常简单实用的学习算法。这种方法可以广泛地应用于处理缺损数据、截尾数据以及带有噪声等所谓的不完全数据，可以具体来说，我们可以利用EM算法来填充样本中的缺失数据、发现隐藏变量的值、估计HMM中的参数、估计有限混合分布中的参数以及可以进行无监督聚类等等。(Expectation Maximization image segmentation Input: ima: grey color image k: Number of classes Output: mask: clasification image mask mu: vector of class means v: vector of class variances p: vector of class proportions )

一些matlab的简单程序，对于初学者很有帮助的，好好看看 (Matlab some simple procedures, useful for beginners, a good look at)

荷兰乌德勒支大学Yuri A. Kuznetsov教授团队开发的基于matlab的非线性动力学系统滑动分岔现象延拓程序(sliding bifurcations by Yuri A. Kuznetsov)