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[AI-NN-PR机器学习

Description: 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)
Platform: | Size: 3897344 | Author: cVirr | Hits:

[AI-NN-PR2047

Description: Calculation multifractal detrended fluctuation analysis matlab program, Machine learning routines, Rapid expansion of random spanning tree algorithm.
Platform: | Size: 7168 | Author: manqiekei | Hits:

[matlabbprsk

Description: Machine learning routines, Including Deng's correlation, absolute correlation, correlation of slope, improved absolute correlation, Accuracy can reach 98%.
Platform: | Size: 7168 | Author: manqiekei | Hits:

[Special Effectstbpap

Description: Machine learning routines, High simulation efficiency, Calculation of the Euclidean distance between the two matrices.
Platform: | Size: 60416 | Author: 姚波亮 | Hits:

[Special Effectsdudbn

Description: Based on matlab platform, Machine learning routines, Realize image watermarking, de-noising, plus noise and other functions.
Platform: | Size: 151552 | Author: hiutingjui | Hits:

[matlabfile1

Description: 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.)
Platform: | Size: 9216 | Author: wu.pingyang | Hits:

[matlab机器学习基础教程 matlab代码+数据

Description: 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)
Platform: | Size: 14600192 | Author: 爱de檸檬 | Hits:

[Mathimatics-Numerical algorithms2单变量线性回归_配套代码

Description: 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.)
Platform: | Size: 3072 | Author: 木鱼123 | Hits:

[matlabysinw

Description: Power System Transient Stability Program, can be transient stability, Machine learning routines, Decoupling, restore the original signal.
Platform: | Size: 150528 | Author: cgtdfbvm | Hits:

[Special EffectsColorhist_Libsvm_dem

Description: 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(如截成大小一致的图片)、特征向量提取、结合Libsvm进行模型训练、对测试图片进行分类测试。(With the rapid development of science and technology, the continuous innovation of machine learning and artificial intelligence technology, the demand of people for specific information retrieval increases gradually, and how to classify resources reasonably and efficiently becomes a key issue. This article based on Libsvm image classification research and implementation, mainly for the object classification on the one hand, the selection of five types of fruit as the classification of the object of study. The general steps of image classification include collecting image samples (mainly obtained from the Web), image preprocessing (such as cutting the same size of the image), feature vector extraction, combined with Libsvm model training, the test images were classified test.)
Platform: | Size: 1024 | Author: 安安* | Hits:

[AI-NN-PRfaghd

Description: It has a wealth of parameter options, Machine learning routines, Undergraduate complete set requirements refer to the standard test models.
Platform: | Size: 39936 | Author: tenggingsouyou | Hits:

[Other2016-10-19 gpml-matlab-v4.0

Description: 高斯过程回归,分类,工具箱;Gaussian Processes ; Machine LearningToolbox.(Gaussian Processes ;Machine Learning (GPML) Toolbox.)
Platform: | Size: 1298432 | Author: 哈巴狗@招财喵 | Hits:

[matlab5-ELM

Description: 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)
Platform: | Size: 177152 | Author: zlzlzl | Hits:

[AI-NN-PRml_exp3.3

Description: 西瓜书课后习题P69 3.3 :编程实现对率回归(Machine Learning Book after class problem P69 3.3: programming realization rate regression)
Platform: | Size: 7168 | Author: 冬瓜冬瓜,我就是冬瓜 | Hits:

[matlabmachine-learning-ex2

Description: 用于人工智能领域,分类学习时可以使用。方法主要是与分类学习相关。(classfication method is used in this rar, it is used for classify data.)
Platform: | Size: 275456 | Author: Daisy87 | Hits:

[matlabrasmusbergpalm-DeepLearnToolbox

Description: 深度学习程序包,内含多种网络结构的matlab实现。(The deep learning package contains matlab implementations of a variety of network structures.)
Platform: | Size: 14751744 | Author: CU_smile | Hits:

[matlabactive_learning

Description: 机器学习领域内主动学习(Active Learning)程序包,matlab实现。(The active learning (Active Learning) package, matlab implementation.)
Platform: | Size: 46080 | Author: CU_smile | Hits:

[matlabex1

Description: basic machine learning
Platform: | Size: 506880 | Author: Habill | Hits:

[matlabbp.matlab

Description: 是一种按照误差逆向传播算法训练的多层前馈神经网络,是目前应用最广泛的神经网络。(In machine learning and science,artificial neural networks are a family of statistical learning models inspired by biological neural networks and are use to estimate or opproximate functions that can depend on a large number of inputs and are generally unknown)
Platform: | Size: 172032 | Author: 安联的大球童 | Hits:

[matlabfitness

Description: 比如每个企业和个人都要考虑的一个问题“在一定成本下,如何使利润最大化”等。最优化方法是一种数学方法,它是研究在给定约束之下如何寻求某些因素(的量),以使某一(或某些)指标达到最优的一些学科的总称。随着学习的深入,博主越来越发现最优化方法的重要性,学习和工作中遇到的大多问题都可以建模成一种最优化模型进行求解,比如我们现在学习的机器学习算法,大部分的机器学习算法的本质都是建立优化模型,通过最优化方法对目标函数(或损失函数)进行优化,从而训练出最好的模型。常见的最优化方法有梯度下降法、牛顿法和拟牛顿法、共轭梯度法等等。(For example, every enterprise and individual should consider a problem "how to maximize profit at a certain cost." The optimization method is a mathematical method. It is a general term for some disciplines that study how to find certain factors (quantity) under a given constraint to make one (or some) index get the best. With the in-depth study, the blogger found more and more importance of optimization methods, have to study and work in most of the problems can be modeled as solving an optimization model, such as we are now learning machine learning algorithm, most of the machine learning algorithm is the essence of optimization model is established through the optimization method of the objective function (or the loss function) optimization, to train a best model. The common optimization methods include gradient descent method, Newton method and quasi Newton method, conjugate gradient method and so on.)
Platform: | Size: 1024 | Author: hxxa | Hits:
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