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bayesian

  • 用mushrooms数据对模式识别课程讲述的各种模式分类方法[线性分类

    用mushrooms数据对模式识别课程讲述的各种模式分类方法[线性分类,bayesian分类,Parzen窗,KNN]和特征选择和降维方法[PCA,LDA]进行了模拟,并给出了各类分类方法的结果,

    标签: mushrooms 分类 数据 模式识别

    上传时间: 2013-12-25

    上传用户:kbnswdifs

  • 一种新的方法

    一种新的方法,可以自动对两幅图像进行 ·Matlab code for encoding an unwrappi ·冈萨雷斯的经典教材数字图像处理的matl ·Fast Fourier Transform ·《Matlab控制系统与应用实例》一书源码 ·bayesian Compressed Sensing ·永磁同步电动机的空间矢量控制simulink ·Matlab计算信噪比,单声道,双声道均可

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    上传时间: 2017-06-25

    上传用户:从此走出阴霾

  • adaptivewaveletthresholding

    贝叶斯阈值方法实现图像去噪,对文献Chang.adaptive wavelet  thresholding for image denoising and compression仿真结果。-bayesian  threshold method of image denoising。

    标签: 小波 图像处理

    上传时间: 2016-04-25

    上传用户:shiaijianjun

  • bayesian Data Analysis

    统计领域经典书籍,贝叶斯数据分析(英文原版),第三版

    标签: bayesian Analysis Data

    上传时间: 2018-10-23

    上传用户:fuchuchaoyue

  • Bishop-Pattern-Recognition-and-Machine-Learning

    Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation propa- gation. Similarly, new models based on kernels have had significant impact on both algorithms and applications.

    标签: Bishop-Pattern-Recognition-and-Ma chine-Learning

    上传时间: 2020-06-10

    上传用户:shancjb