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深度学习的matlab工具箱,用于机器学习图像处理等领域(deep learning tool box , machine learning)
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三种梯度下降的logistic regression机器学习入门代码(three logistic regression methods for machine learning)
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KNN算法的matlab实现,包含原始数据(matlab code of KNN in machine learning)
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PCA算法的matlab实现及算例,包含原始数据(matlab code of PCA in machine learning)
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K-means算法的matlab实现,附带原始数据(matlab code of K-means in machine learning)
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基于机器学习->增强型学习的路径规划算法实现,包括Q学习和动态学习。(Implementation of Reinforced Learning Algrithm for grid path planning problem, including Q-learning and Dynamic Learning.)
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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)
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利用matlab研究机器学习的导论,附有matlab教程以及机器学习算法思想(An introduction to machine learning using MATLAB)
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Calculation multifractal detrended fluctuation analysis matlab program, Machine learning routines, Rapid expansion of random spanning tree algorithm.
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Machine learning routines, Including Deng's correlation, absolute correlation, correlation of slope, improved absolute correlation, Accuracy can reach 98%.
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Machine learning routines, High simulation efficiency, Calculation of the Euclidean distance between the two matrices.
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Based on matlab platform, Machine learning routines, Realize image watermarking, de-noising, plus noise and other functions.
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机器学习基础之梯度下降算法的matlab源代码(Machine learning basis of the gradient descent algorithm matlab source code.)
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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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关于机器学习的线性回归模型matlab主程序。(Matlab main program of linear regression model for machine learning.)
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Power System Transient Stability Program, can be transient stability, Machine learning routines, Decoupling, restore the original signal.
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随着科学技术的飞速发展,机器学习与人工智能技术的不断创新,人们对特定信息检索的需求逐渐增加,使得如何对资源进行合理有效的分类成为一个关键问题。近几年来,基于内容的图像分类的研究焦点主要集中在自然图像的场景分类和物体分类两个方面,大多采用有监督学习方法,通过对底层特征建模和中间语义分析来实现分类。
本文基于Libsvm的图像分类研究及实现,主要针对的是物体分类这一方面,选用了五类水果作为分类研究的对象。对图像进行分类的大体步骤主要包括采集图像样本(主要从Web上获取)、图像预处理(如截成大小一致
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It has a wealth of parameter options, Machine learning routines, Undergraduate complete set requirements refer to the standard test models.
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高斯过程回归,分类,工具箱;Gaussian Processes ; Machine LearningToolbox.(Gaussian Processes ;Machine Learning (GPML) Toolbox.)
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极限学习机(ELM)的matlab实现,对一组数据进行回归的例子(Extreme learning machine (ELM) matlab implementation, for a group of data regression examples)
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