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1下载:
EM算法估计GMM的matlab版本的源代码,适合给类机器学习问题-EM algorithm estimates GMM Matlab version of the source code, suitable for the type of machine learning problems
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matlab 中的neuron network的classifier更新,名为elm(extrem learning machine)-Matlab of the classifier Neurology network update called elm (EXTREM learning machine)
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一个机器学习算法软件包,包括神经网络,模糊逻辑,支持向量机,采用MATLAB平台实现,-a machine learning algorithm packages, including neural networks, fuzzy logic, support vector machine, MATLAB platform.
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机器学习中的关于逻辑回归(LR)方法的分类器,Matlab源码,附带四个数据集用于实验-Machine Learning on the logistic regression (LR) method of classification, Matlab source code, with four data sets for experiments
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这是支持向量机的程序。也是关于svm的,可以很好的学习支持向量机-This is a support vector machine procedure. Is also about the SVM can be good learning support vector machines
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对学习最小二乘法的初学者有很大的帮助的一篇文章最小二乘支持向量机算法及应用研究-Least square method of learning is very useful to beginners in an article- least squares support vector machine algorithm and applied research
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支持向量机作为统计学习理论的实现方法,能很好地解决非线性和高维数问题,克服了神经网络方法收敛慢、解不稳定、推广性差的缺点,近年来得到了广泛地研究,在模式识别、信号处理、控制、通讯等方面得到了广泛地应用。-Support Vector Machine as the implementation of statistical learning theory approach, can be a good solution to the nonlinear and high dimension pro
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蒙特卡洛算法也常用于机器学习,特别是强化学习的算法中。一般情况下,针对得到的样本数据集建立相对模糊的模型,通过蒙特卡洛方法对于模型中的参数进行选取,使之于原始数据的残差尽可能的小。从而达到建立模型拟合样本的目的。(Monte Carlo algorithm is also commonly used in machine learning, especially in reinforcement learning algorithm. In general, a relatively fuzzy
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该材料适合机器学习,具有详细参考书籍,非常适合初学者学习(This material is suitable for machine learning, with detailed code and corresponding reference books. It is very suitable for beginners to learn.)
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基于的 Q-Learing 的 机器学习 避障 matlab代码(Q-Learing based machine learning obstacle avoidance matlab code)
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本程序使用matlab软件,实现了基于K-means聚类算法的图像分割。(Image split based on K-means was done by using Matlab.)
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采用matlab机器学习语言,支持向量机(Machine learning language classification)
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关于深度学习的训练代码,适合比较初等的训练练习,关于不同机器学习模型的搭建(THE MACHINE LEARNING PRACTICE FOR COURSERA SECTION. CODING STUFF OF OPTIMIZATION, DECISION TREE AND OTHERS)
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关于车辆工程的参考程序,主要是对于车辆工程这本书的源代码,感觉很好(Reference procedure for vehicle engineering)
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机器学习算法的详细介绍,数学推导。 提供数据(Detailed introduction of machine learning algorithm and mathematical derivation. Provide data)
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要说随机森林,必须先讲决策树。决策树是一种基本的分类器,一般是将特征分为两类(决策树也可以用来回归,不过本文中暂且不表)。构建好的决策树呈树形结构,可以认为是if-then规则的集合,主要优点是模型具有可读性,分类速度快。(In machine learning, a random forest is a classifier that contains multiple decision trees, and its output category is determined by the m
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It is a free, open source MATLAB toolbox for symbolic data mining (SDM).
It uses a biologically inspired machine learning method called multigene genetic programming (MGGP) as the 'engine' that drives the automatic model discovery process.
GPTIPS
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机器学习,流行学习,RBF,字典学习,matlab程序。(Machine learning, popular learning, RBF, dictionary learning, matlab program.)
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统计回归分析,逻辑斯蒂多元线性回归,机器学习,详细代码解说,机器训练等(Logistic multiple linear regression, statistical regression analysis, logistic multiple linear regression, machine learning, detailed code interpretation, machine training, etc)
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3下载:
DBN算法-机器学习-电力系统预测
亲自编写可以使用(DBN algorithm machine learning power system prediction)
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