Search - rvm matlab

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[AI-NN-PR] RVM_matlabToolBox DL : 2: 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.
Update : 2025-02-19 Size : 154kb Publisher : 何创新
[matlab] lk_regression DL : 1: 实现相关向量机回归算法的MATLAB程序。-MATLAB RVM regression
Update : 2025-02-19 Size : 1kb Publisher : 立昆
[AI-NN-PR] demo_rvm DL : 0: Demo RVM relevance vector machine matlab
Update : 2025-02-19 Size : 17kb Publisher : Andr茅
[matlab] SparseBayesDemo DL : 0: sparsebayes matlab RVM-relevant vector machine
Update : 2025-02-19 Size : 4kb Publisher : xinghuo
[matlab] rvm DL : 0: 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.
Update : 2025-02-19 Size : 2kb Publisher : wuxin
[matlab] rvm DL : 0: 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.
Update : 2025-02-19 Size : 3kb Publisher : donghui
[matlab] RVM DL : 0: 关联向量机的硕士博士论文，关联向量机是支持向量机的发展，开发工具主要是matlab-Associated with the master s thesis vector machines, relevance vector machine is the development of support vector machines, development tools, mainly matlab
Update : 2025-02-19 Size : 37.7mb Publisher : chenyt
[matlab] SB2_Release_200 DL : 0: SparseBayesDemo,用于学习稀疏贝叶斯算法的工具，由RVM算法开发者Tipping开发-"SparseBayes" is a package of Matlab functions designed to implement an efficient learning algorithm for "Sparse Bayesian" models.
Update : 2025-02-19 Size : 153kb Publisher : eric.j
[matlab] rvm DL : 0: it is rvm matlab code
Update : 2025-02-19 Size : 11kb Publisher : jimy
[matlab] mvrvm DL : 0: 用rvm作线性回归的例子，matlab写的-Linear regression with rvm example, matlab write
Update : 2025-02-19 Size : 14kb Publisher : 任总
[Other] RVM_matlabToolBox DL : 0: 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 fast algorithm that contains code for use. RVM support vector machine is taken the same functional form sparse probabilistic model to predict the unknown function or classification. Advantages: (1) is not only the amount of output predicted target point estimates, but also the distribution of predicted values can be output. (2) using a smaller number of support vectors, thereby significantly reducing the output target amount predicted value calculation time. (3) RVM does not require excessive parameter estimation. (4) RVM meets Mercer theorem on the kernel function is not limited, and better adaptability
Update : 2025-02-19 Size : 157kb Publisher : 小芝麻
[source in ebook] huishangguanlian DL : 0: 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.
Update : 2025-02-19 Size : 1kb Publisher : wangtao
[Other] PSO-SampEn--ApproxiEN-RVM DL : 1: PSO：粒子群优化算法，用C++和matlab两种语言实现的 RVM:相关向量机，比SVM更高级些样本熵和近似熵：计算动态系统中时间序列的一个重要手段-PSO: PSO algorithm, using C++ and matlab realization of two languages RVM: relevance vector machine, some more advanced than SVM Sample entropy and approximate entropy: Calculating an important means of dynamic system in time series
Update : 2025-02-19 Size : 288kb Publisher : 夏德玲
[Software Engineering] rvmm DL : 0: 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.-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.
Update : 2025-02-19 Size : 17kb Publisher : guolei
[source in ebook] rvm_regression DL : 0: 本人根据rvm回归模型自己编的matlab程序-relevance vector regression regression
Update : 2025-02-19 Size : 3kb Publisher : 黄药师
[matlab] RVM_regression DL : 0: Tipping的相关向量机RVM的回归MATLAB程序，有英文注释，可以运行-Relation vector machine RVM
Update : 2025-02-19 Size : 3kb Publisher : annie
[matlab] RVM_matlabToolBox DL : 0: MATLAB相关向量机工具箱，可以先先看看，说不定以后需要 toolbox(RVM matlabtoolbox,SeqSparBayes)
Update : 2025-02-19 Size : 153kb Publisher : 哈巴狗@招财喵
[matlab] SB2_Release_200 DL : 0: 相关向量机SB2_reLease——200的matlab实验代码，能够运行(The MATLAB experiment code of the related vector machine SB2_reLease - 200 can run)
Update : 2025-02-19 Size : 154kb Publisher : 武倩
[Other] RVM DL : 0: 相关向量机（RVM）预测 MATLAB小程序(Correlation vector machine,predictive, MATLAB)
Update : 2025-02-19 Size : 1kb Publisher : ttwyzn