matlab machine learning toolbox

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Ml-Decision Tree Algorithm implementation (TRAIN+TEST,MATLAB) __ Machine learning

Huadian North Wind BlowsKey laboratory of cognitive computing and application, Tianjin UniversityModification Date: 2015/8/15 Decision tree is a very simple machine learning classification algorithm. The decision tree idea comes from the human decision-making process. For the simplest example, when humans find it raining, they tend to have an easterly wind and then darken the sky. Corresponding to the decis

"Quantitative investment: Matlab as a Tool" series (1) Basics-----minute learning matlab (UP)

below as the "quantitative investment: Matlab as a tool" foundation, is to let the reader just contact with MATLAB can quickly and effectively understand Matlab, after all, in a time-efficient era of people prefer to crash things.This article formally refers to the Liu Sixian teacher's "153 minutes to learn R", of course, the content of the combination of the ch

Introduction to robotics toolbox for Matlab

"Robotics toolbox"Is one of open-source MATLAB (r) Toolbox maintained by Prof. peter corke, and another is machine version toolbox. the Toolbox provides provided functions that are useful for the Study and Simulation of classical

MATLAB Spline Toolbox

Author: eryarToday we found that there is a Spline Toolbox in MATLAB. Learning to use this tool is helpful for understanding some concepts in computer ry.The help document provides a brief introduction to Splines. Here is a sample program for some B-Splines, as shown in:Enter the file name in MATLAB to run the program:

MATLAB Dimensionality Reduction toolbox

MATLAB toolbox for dimensionality loss ction dimensionality reduction methods include: Principal Component Analysis (PCA) • Probabilistic PCA • Factor Analysis (FA) • Sammon Mapping • Linear discriminant analysis (LDA) • Multidimensional Scaling (MDS) • Isomap • Landmark Isomap • Local linear embedding (LLE) • Laplacian eigenmaps • Hessian lle • Local tangent space alignment (ltsa) • Conformal

Framework and Toolbox for deep learning

Find Matlab more and more powerful. Now there is also the Toolbox for deep learning.Deep Learning Toolbox: Https://github.com/rasmusbergpalm/DeepLearnToolbox.First, the configuration1, the download after decompression, the extracted folder to copy to the MATLAB

Can Matlab become a tool for in-depth learning of data mining compared to Python?

chunk of the statistical category. for reference only. Academia in the use of MATLAB and Python bar, industry or C or Java comparison is not very clear MATLAB and Python applications for data mining in terms of the books. But I recommend Harvard CS109 this course. / http cs109.github.io/2014/ 。 It will introduce a set of Python-based machine

Matlab Support Vector Machine (SVM) for multi-classification

1, first, you need to complete the installation of MATLAB.2, extract the Libsvm-3.17.zip and Drtoolbox.tar files to: libsvm-3.17 folder and Drtoolbox, and put in the MATLAB Toolbox installation directory,For example: C:\Program files\matlab\r2014a\toolbox directory.3, start

[Machine Learning] Computer learning resources compiled by foreign programmers

This article compiles a number of frameworks, libraries, and software (sorted by programming language) for the machine learning domain.1. c++1.1 Computer Vision ccv-based on C language/provide cache/core machine Vision Library, novel Machine Vision Library opencv-it provides C + +, C, Python, Java and

Deep learning Deep Learning with MATLAB (Lazy person Version) _ Depth Learning

In the words of Russian MYC although is engaged in computer vision, but in school never contact neural network, let alone deep learning. When he was looking for a job, Deep learning was just beginning to get into people's eyes. But now if you are lucky enough to be interviewed by Myc, he will ask you this question Deep Learning why call Deep

Recommended! Machine Learning Resources compiled by programmers abroad)

This article is translated from awesome-machine-learning by bole online-toolate. Welcome to the technical translation team. For more information, see the requirements at the end of the article. This article has compiled some frameworks, libraries, and software (sorted by programming language) in the machine learning fi

Machine Learning Resources overview [go]

This article has compiled some frameworks, libraries, and software (sorted by programming language) in the machine learning field ).C ++ Computer Vision CCV-Machine Vision Library Based on C Language/provided Cache/core, novel machine vision Library Opencv-it provides C ++, C, Python, Java and

Support Vector Machine for Nonlinear Regression -- Matlab source code

% Sigmoid core function k = 1/(1 + exp (-V * sum (X. * Y) + C ))V = paral; % v = 0.5;C = para2; % C = 0;Otherwise% The Custom kernel function must be modified by the user within the function. Note that you need to modify the function several times at the same time!% Is temporarily defined as K = exp (-(sum (x-y). ^ 2)/(2 * Sigma ^ 2 )))Sigma = para1; % Sigma = 8;End%%% ---------------------- Data normalization ---------------------------------------[X, Minx, Maxx] = premnmx (X );X = 2 * (X-Minx)

Very good learning materials-detailed introduction svm-from the MATLAB forum-about the dissected of SVM. mht

LIBSVM use related issues or more specific ... );=================== Boring divider Line ========================= written in front of the broken read by Faruto Remember the first contact with SVM is a junior college students to participate in the North Division undergraduate Research fund in the School of Management system science there to do a brain wave EEG pattern recognition project, at that time for the concept of "machine

Principle and programming practice of machine learning algorithm Chapter One basics of machine learning __ Machine learning

Preface: "The foundation determines the height, not the height of the foundation!" The book mainly from the coding program, data structure, mathematical theory, data processing and visualization of several aspects of the theory of machine learning, and then extended to the probability theory, numerical analysis, matrix analysis and other knowledge to guide us into the world of

MATLAB Learning notes Miscellaneous

1. You have three ways to get help from Matlab. The best way is to use the Help space window (Helpbrowser). You can click the icon on the Matlab Desktop toolbar or in the Command window (thecommandWindows), enter Helpdesk or Helpwin to start the Help space window (Helpbrowser). There are also two other ways to use the original form of the command line to get help. The first method is to enter help or Help a

Notes of machine Learning (Stanford), Week 6, Advice for applying machine learning

This paper uses the regularization linear regression model pre-flow (water flowing out of dam) according to the water storage line (water level) of the reservoir, then the Debug Learning Algorithm and discusses the influence of deviation and variance on the linear regression model.① visualizing datasetsThe data set for this job is divided into three parts:Training set (training set), sample matrix (Training Set): X, results label (label of result) Vec

Machine learning in various distances __ machine learning

7. Angle cosine (cosine) There is no mistake, not study geometry, how to pull to the angle cosine. Everybody reader a little bit Ann not impatient. The angle cosine of the geometry can be used to measure the difference between the two vector orientations, and the concept is borrowed from the machine learning to measure the difference between the sample vectors. (1) The cosine formula of the angle between

Introduction to machine learning--talking about neural network

network learning): Http://52opencourse.com/289/coursera Public Lesson Video-Stanford University Nineth lesson on machine learning-neural network learning-neural-networks-learningStanford Deep Learning Chinese version: Http://deeplearning.stanford.edu/wiki/index.php/UFLDL tu

Machine Learning-Stanford: Learning note 1-motivation and application of machine learning

The motive and application of machine learningTools: Need genuine: Matlab, free: Octavedefinition (Arthur Samuel 1959):The research field that gives the computer learning ability without directly programming the problem.Example: Arthur's chess procedure, calculates the probability of winning each step, and eventually defeats the program author himself. (Feel the

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