Description: 支持向量机的源代码，可以实现分类和回归分析。-ctions on Intelligent Systems and Technology
ABSTRACT LIBSVM is a library for Support Vector Machines (SVMs). We have been actively developing this package since the year 2000. The goal is to help users to easily apply SVM to their applications. LIBSVM has gained wide popularity in machine learning and many other areas. In this article, we present all implementation details of LIBSVM. Issues such as solving SVM optimization problems theoretical convergence multiclass classification probability estimates and parameter selection are discussed in detail.
we show formulations used in LIBSVM: C-support vector classifica-tion (C-SVC), ν-support vector classification (ν-SVC), distribution estimation (one-class SVM), -support vector regression (-SVR), and ν-support vector regression
(ν-SVR). We discuss the implementation of solving quadratic problems Platform: |
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Author:guolei |
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Description: 机器学习的决策树算法，matlab编写。适合初学者对决策树算法有初步的认识。-Decision Tree Algorithm machine learning, matlab prepared. Suitable for beginners to have a preliminary understanding of the decision tree algorithm. Platform: |
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Author:nilaoda |
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Description: 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 TO READ
==============
If you want to get started without further delay, then read section 1) below
and jump right to the examples in doc/index.html.
1) ABOUT THESE PROGRAMS
=======================
This collection of matlab programs implements and demonstrates some of the
algorithms described in
a) the book by Rasmussen and Williams: Gaussian Processes for Machine Learning ,
the MIT Press 2006, in
b) the article by Nickisch and Rasmussen: Approximations for Binary Gaussian
Process Classification , JMLR 2008, in
c) the article by Candela and Rasmussen: A Unifying View of Sparse Approximate
Gaussian Process Regression , JMLR 2005, in
d) the paper by Murray, Adams and Mackay: Elliptical slice sampling ,
AISTATS 2010, in
e) the report by Neal: Anneale Platform: |
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Author:李 |
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Description: 一个回归学习的matlab例程，可以直接运行，具体内容参考图书《视觉机器学习20讲》-A return to learn the Matlab routines, can be run directly, the specific content of reference books < visual machine learning 20
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Size: 5120 |
Author:897lp |
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Description: 一个em学习的matlab例程，可以直接运行，具体内容参考图书《视觉机器学习20讲》-A EM learning matlab routines, you can run directly, the specific content of reference books < visual machine learning 20
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Author:897lp |
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Description: This function is used to calculate the arbitrary function of the first order partial derivative (numerical methods), Including principal component analysis, factor analysis, Bayesian analysis, Machine learning routines. Platform: |
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Author:Nuckykk
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Description: SB2_Release_200.zip是MATLAB的支持向量机(SVM)工具包,是机器学习中非常有用的工具包。(This is the MATLAB support vector machine (SVM) toolkit,which is very useful for machine learning.) Platform: |
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Author:winnie0i0
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Description: 能够用来解决svm算法用于机器学习中的多数问题(It can be used to solve most of the problems that SVM algorithms are used in machine learning) Platform: |
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Author:古月笙
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