搜索资源列表
pattern_recognition_v6.1
- 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
RockCarryPL0
- 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
srvm
- a version of RVM code
20041191326762
- /* smplayer, GUI front-end for mplayer. Copyright (C) 2007 Ricardo Villalba <rvm@escomposlinux.org> This program is free software you can redistribute it and/or modify it under the terms of the GNU General Public License as publishe
RVM
- 相关向量机,在人工智能领域较新的应用,希望大家看一下-Relevance vector machine, new applications in the field of artificial intelligence, I hope you look at
rvm-for-forecasting
- 相关向量机的电力负荷预测,在人工智能领域较新的应用,希望大家看一下-Relevance vector machine, new applications in the field of artificial intelligence, I hope you look at
Sparse-Bayesian-Learning-and-rvm
- 稀疏贝叶斯学习和相关向量回归,大家可以看一下,人工智能中的应用-Relevance vector machine, new applications in the field of artificial intelligence, I hope you look at...
d4ef13.ZIP
- 基于RVM回归的姿控系统多故障检测Based on RVM regression of the attitude control system multiple fault detection-Based on RVM regression of the attitude control system multiple fault detection
SB2_Release_200
- 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.
mvrvm
- 用rvm作线性回归的例子,matlab写的-Linear regression with rvm example, matlab write
RVM_matlabToolBox_v300
- RVM的一个从作者原网站上下载的RVM最新版本的工具箱-RVM one of the original site to download the latest version of the RVM Toolbox
CSL1.0
- A Comprehensive Sparse Learning Package-Descr iptions: Six sparse algorithms are implemented in this package. They are 1) SVM 2) L1-norm SVM a) Linear Programming SVM b) SC-SVM 3) L0-norm SVM 4) RVM (Relevance Vector Machine) 5)
RVM
- 预测分类,针对目标样本进行训练比对,预测有可能发生的情况-Predictive classification, target training samples compared to predicted situation may occur
RVMclas
- In mathematics, a relevance vector machine (RVM) is a machine learning technique that uses Bayesian inference to obtain parsimonious solutions for regression and classification.The RVM has an identical functional form to the support vector machine, b
huishangguanlian
- 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 mat
RVM_facerecognation
- 利用RVM原理进行人脸识别,并且可以统计人脸识别的正确率与错误率!!!!!(Using RVM principle for face recognition, and can count the correct rate of face recognition and error rate!)
rvmVb
- 回归向量机,完成数据的训练,测试,建模,根据真实的信号数据进行预测(RVM the regression vector machine achieve the task of prediction)
RVM
- 新的回归向量机,用于回归拟合,相关论文可以参考sparse bayesian learning and relevance vector machine(New Regression Vector Machine for Regression Fitting)
RVM_matlabToolBox
- 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)
RVM程序
- 关于对癫痫脑电信号分析的程序、RVM程序(Electroencephalogram analysis of epilepsy)