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[Algorithmpattern_recognition_v6.1

Description: 完整的模式识别库,包括矩阵运算,各种模式识别算法,如K均值、SVM、RVM、NN、LDA等-Complete pattern recognition library, including matrix computation, a variety of pattern recognition algorithms, such as K-means, SVM, RVM, NN, LDA, etc.
Platform: | Size: 1166336 | Author: mountyang | Hits:

[Software EngineeringRVM_tutorial

Description: 最新的分类器关联向量机RVM的详细中文说明,包括定义、算法和实现。-The latest associated vector machine classifier RVM detailed English description, including definitions, algorithms and realize.
Platform: | Size: 735232 | Author: mountyang | Hits:

[Windows DevelopRockCarryPL0

Description: RockCarry PL/0 语言编译器(一下简称RCompiler),是一个能将PL/0语言的源程序编译成 为多种形式的目标代码的编译器。目前的RCompiler支持的PL/0语言是一种微型的Pascal语言, 关于该语言的详细说明请参见“PL0语言简介.txt”一文。 RCompiler的输出类型可以是:1.四元式形式的中间代码和符号表、2.符合RVM虚拟机规范的 RVM代码文件(该文件可以被RVM虚拟机解释执行)、3.符合80x86汇编语言标准的汇编语言代码、 4.符合DOS规范的DOS可执行程序、5.符合Windows规范的Windows可执行程序。 -RockCarry PL/0 language compiler (you referred to RCompiler), is a capable of PL/0 compiler source language to become various forms of object code compiler. RCompiler support the current PL/0 language is a miniature of the Pascal language, the language on a detailed description please see the
Platform: | Size: 346112 | Author: 王锋 | Hits:

[OtherSparseBayesianLearningandtheRelevanceVectorMachine

Description: 本文介绍了一般贝叶斯框架通过稀疏来解决回归和经典任务中利用线性模型中参数。虽然这框架完全概括说明了,我们对一个特定专业的做法,这个特定专业就是我们指的“相关向量机( RVM )” 一个模型以相同的函数模型功能流行和最先进的“支持向量机”( SVM) 。我们论证了利用概率贝叶斯学习的构造,我们可以得出准确的预测模式,这个模型相比SVM大幅减少了使用基底函数,同时提供了一些其他优点。这些优点包括在效益指标的概率预测,自动估算“nuisance”参数,并利用该设施任意基函数(如:非`Mercer 的内核)-This paper introduces a general Bayesian framework for obtaining sparse solutions to regression and classi­ cation tasks utilising models linear in the parameters.
Platform: | Size: 1481728 | Author: liwen | Hits:

[OtherKPCA_RVM

Description: 关于关联向量机应用的最新文献! 提出了一种核主元分析(KPCA)和关联向量机(RVM)相结合的组合建模方法。KPCA-RVM采用KPCA对原始自变量进行非线性变换并提取主成分,形成特征自变量 采用RVM,对KPCA变换后的样本数据进行回归建模,并根据模型的预报能力自适应的确定参与回归的最佳特征变量个数,消除冗余信息干扰,获得强非线性表达能力且预报性能良好的模型。并将KPCA-RVM应用于PTA装置对羧基苯甲醛(4-CBA)含量的软测量建模,结果表明该方法预测精度高于PCA-RVM和RVM。-A novel modeling method integrated KPCA with RVM was proposed. The kernel primary component analysis (KPCA) was employed to identify the principal components from the nonlinear transform data of independent variables, which were regarded as character variables. Regression between character variables and dependent variables was done based on RVM, and the optimal number of the character variables was adaptively determined according to the generalization performance of the regression model. Thus, KPCA-RVM meth...
Platform: | Size: 302080 | Author: wudh | Hits:

[AI-NN-PRSVMANDRVM

Description: 详细介绍了SVM 和RVM的区别及各自的优点,说明RVM在很多方面优于SVM-Described in detail the difference between SVM and the RVM and their respective advantages, indicating RVM in many ways superior to SVM
Platform: | Size: 144384 | Author: zhaiweixing | Hits:

[AI-NN-PRTutorialOfRVM

Description: 通俗的介绍了RVM与SVM的区别,写的非常通俗易懂-Tutorial of RVM
Platform: | Size: 206848 | Author: gjs | Hits:

[AI-NN-PRRVM_matlabToolBox

Description: 相关向量机(RVM)的matlab源程序,包含快速算法,内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型,对未知函数进行预测或分类。 优点: (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好. -Relevance Vector Machine (RVM) of the matlab source code, including the fast algorithm that contains the code instructions. RVM to support vector machines with the same function form of sparse probabilistic model to predict the unknown function, or classification. Advantages: (1) The goal is not only the amount of the output forecast point estimates, but also the distribution of the output forecast. (2) use less number of support vectors, thus significantly reduce the amount of predictive value of the output goal of computing time. (3) RVM does not require too many parameters estimated. (4) RVM on whether to satisfy Mercer' s theorem is no limit on nuclear function, adaptability and better.
Platform: | Size: 157696 | Author: 何创新 | Hits:

[matlablk_regression

Description: 实现相关向量机回归算法的MATLAB程序。-MATLAB RVM regression
Platform: | Size: 1024 | Author: 立昆 | Hits:

[AI-NN-PRdemo_rvm

Description: Demo RVM relevance vector machine matlab
Platform: | Size: 17408 | Author: Andr茅 | Hits:

[matlabSparseBayesDemo

Description: sparsebayes matlab RVM-relevant vector machine
Platform: | Size: 4096 | Author: xinghuo | Hits:

[matlabrvm

Description: 这是一个完善的RVM算法。其性能良好,代码清晰。能够很好的用于分类。-This is a perfect RVM algorithm. Its good performance, the code clear. Can be good for classification.
Platform: | Size: 2048 | Author: wuxin | Hits:

[matlabrvm

Description: 用于分类的相关向量机(RVM)算法,可以实现很好的分类。-RVM algorithm can be good for classification.
Platform: | Size: 3072 | Author: donghui | Hits:

[AI-NN-PRRVM

Description: 该算法是机器学习领域新提出的一种能应用于分类和拟合的方法,被称为相关向量机(RVM),相比于在这一领域表现出色的支持向量机(SVM),该算法在保持杰出分类能力和拟合能力的同时,也表现出良好的稀疏性,因此拥有更好的泛化能力。本算法值得广大机器学习研究领域的科研人员借鉴学习-failed to translate
Platform: | Size: 100352 | Author: Orange yang | Hits:

[AI-NN-PRRVM

Description: 关于相关向量机的pdf文档,一个是原作者的文档,一个是中国学者的学习文档,通俗易懂,是学习相关向量机的很好的资料,另有基于rvm的预测程序。-Pdf documents on relevance vector machine, a documentation of the original author, a Chinese scholar s study documents, easy to understand, to learn the information of relevance vector machine, and another based on the forecast program rvm.
Platform: | Size: 1683456 | Author: 梁永亮 | Hits:

[matlabrvm

Description: it is rvm matlab code
Platform: | Size: 11264 | Author: jimy | Hits:

[AI-NN-PRrvm

Description: RVM的工具箱,包含拟合,退化预测,分类的源程序和例子。-RVM toolbox, including fitting, degradation prediction, classification of source code and examples.
Platform: | Size: 1092608 | Author: 许瀚 | Hits:

[AI-NN-PRrvm

Description: RVM的工具箱,包含拟合,退化预测,分类的源程序和例子。-RVM toolbox, including fitting, degradation prediction, classification of source code and examples.
Platform: | Size: 1092608 | Author: 许瀚 | Hits:

[OtherRVM

Description: 相关向量机(RVM) 预测 MATLAB小程序(Correlation vector machine,predictive, MATLAB)
Platform: | Size: 1024 | Author: ttwyzn | Hits:

[Other☆室内定位用RVM算法

Description: 相关向量机的应用论文,使用相关向量机的机器学习方法应用于室内定位(Paper about applying RVM into indoor potioning)
Platform: | Size: 909312 | Author: 踢踢 | Hits:
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