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高斯过程算法在回归和分类中的应用程序。与书本《基于高斯过程的机器学习》配套。本程序是最新的v3.1版，更新于2010-09-27-Gaussian process regression and classification algorithm in the application. And the book " machine learning based on Gaussian process" support. This program is the latest v3.1
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implementation of feedforward neural network to recognize the faces with sunglasses from open faces.data source is from machine learning book by mitchell
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本实验指导书是配合计算机仿真技术的教学，为学生做实验提供的指导性材料。为便于学习，书中对各种仿真方法均备有范例程序，所有程序均采用MATLAB语言编写，并上机调试通过。-This study guide book is in line with the teaching of computer simulation technology for students to experiment with materials to provide guidance. To facilitate lea
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机器学习与数据挖掘：方法和应用,本书分为5个部分,共18章,较为全面地介绍了机器学习的基本概念,并讨论了数据挖掘和知识发现中的有关问题及多策略学习方法,具体地阐述了机器学习与数据挖掘在工程设计,文本、图像和音乐,网页分析、计算机病毒和计算机控制,医疗诊断、生物医疗信号分析和水质分析中的生物信号处理等方面的应用情况。-Machine learning and data mining: methods and applications, the book is divided into five p
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经典书籍“Pattern Recognition And Machine Learning”，含大量实例与源码-Classic book Pattern Recognition And Machine Learning , containing a large number of examples and source codes.
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这是一个高斯过程回归和分类工具箱，功能非常齐全，可以为解决高斯过程相关的问题提供很多帮助- GAUSSIAN PROCESS REGRESSION AND CLASSIFICATION Toolbox version 3.6
for GNU Octave 3.2.x and Matlab 7.x
Copyright (c) by Carl Edward Rasmussen and Hannes Nickisch, 2015-07-07.
0) HOW
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机器学习matlab实现，是机器学习基础教程的程序实现(implementation of Machine learning using matlab, Refference book name is basic course of machine learning program implementation)
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系统介绍MATLAB机器学习相关工具箱及算法的书籍(MATLAB machine learning toolbox and algorithm books are introduced systematically.
@BOOK{barberBRML2012,
author = {Barber, D.},
title= {{Bayesian Reasoning and Machine Learning}},
publisher = {{Cambridge University Pre
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