搜索资源列表
0364
- Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Bayesian parameter estimation principle mixed logit model, On neural network control.
bayesboundary
- Bayesian boundary algorithm
smoke
- 对肺病因果关系搭建贝叶斯网络，实现肺病诊断过程。实例模型，matlab程序。(Build a Bayesian network for the causal relationship of lung disease to achieve the diagnosis process of lung disease. Instance model, matlab program.)
Beyes
- 实验要求： 1. 以身高为例，画出男女生身高的直方图并做对比； 2. 采用最大似然估计方法，求男女生身高以及体重分布的参数； 3. 采用贝叶斯估计方法，求男女生身高以及体重分布的参数（假定方差已知，作业请注明自己选定的一些参数情况）； 4. 采用最小错误率贝叶斯决策，画出类别判定的决策面。并判断某样本的身高体重分别为(160,45)时应该属于男生还是女生？为(178,70)时呢？(Experimental requirements: 1. take height as an exa
0526
- Bayesian parameter estimation principle mixed logit model, For feature reduction, feature fusion, correlation analysis, Including the generalized cross-correlation function GCC time delay estimation.
贝叶斯分类器
- 该程序能够实现对两种样本进行贝叶斯分类，并且能够通过旋转观察两类的三维图，还能够画出超平面，更加直观的观察两类的分类。(The program can realize the Bayesian classification of two kinds of samples, and can be observed by rotating the 3D figure two class, also can draw a plane, the classification of the two cla
matlablistings
- 马尔科夫链蒙特卡洛算法简单实例,模式识别，参数识别(mcmc,bayesian,Based on markov chain monte carlo method is implemented in the matlab program)
bcs_ver0.1
- Bayesian compressive sensing implemented using matlab.
Meucci_RobustBayesian
- Meucci 著作的matlab实现，关于股票市场的鲁棒Bayesian分配。(The matlab implementation of the Meucci works, on the robust Bayesian allocation of the stock market.)
Gaussian_processes
- This is a very useful Gaussian processes in Bayesian modeling manual for matlab toolbox. The corresponding souce codes can be download from the GPstuff site.
PNN
- 概率神经网络(Probabilistic Neural Network)是由D.F.Speeht博士在1989年首先提出，是径向基网络的一个分支，属于前馈网络的一种。它具有如下优点：学习过程简单、训练速度快；分类更准确，容错性好等。从本质上说，它属于一种有监督的网络分类器，基于贝叶斯最小风险准则。(The rate neural network, first proposed in 1989, is a branch of the RBF network and is one of the fe
LEAD
- This toolbox contains programs for the multi-label classifier which explicitly exploits label dependency with Bayesian network structure.
BNMF
- spectrogram Bayesian tool kit
BMELIB2.0b
- 最大熵，用于数据融合，数据补充等方面的，贝叶斯最大熵原理(Maximum entropy, for data fusion, data supplement, and other aspects, Bayesian maximum entropy principle)
人工智能：人工智能选股之朴素贝叶斯模型
- 本报告对 朴素贝叶斯模型及线性判别分析、二次判别分析 进行系统测试 “生成模型”是机器学习中监督学习方法的一类。与“判别模型”学习决 策函数和条件概率不同，生成模型主要学习的是联合概率分布??(??,??)。本 文中，我们从朴素贝叶斯算法入手，分析比较了几种常见的生成模型（包 括线性判别分析和二次判别分析）应用于多因子选股的异同，希望对本领 域的投资者产生有实用意义的参考价值。(This report gives a systematic test of naive Bayesian
模式识别实验一
- matlab,模式识别，基于Iris数据设计编写两类正态分布模式的贝叶斯判别程序(Pattern recognition report, based on Iris data design, two kinds of Bayesian discriminant program for normal distribution mode are written.)
ML
- 系统介绍MATLAB机器学习相关工具箱及算法的书籍(MATLAB machine learning toolbox and algorithm books are introduced systematically. @BOOK{barberBRML2012, author = {Barber, D.}, title= {{Bayesian Reasoning and Machine Learning}}, publisher = {{Cambridge University Pre
贝叶斯网络工具包
- 贝叶斯网络工具包安装教程 贝叶斯网络参数过程中最大似然估计的详细过程(BAYESIAN NETWORK (Bayesian network parameters maximum likelihood estimation process detailed process))
BCS-FOCUSS
- 仿真分析了贝叶斯算法以及FOCUSS算法对信号处理的性能，并比较了这两种算法的结果(The performance of Bayesian algorithm and FOCUSS algorithm for signal processing is simulated and analyzed, and the results of the two algorithms are compared.)
Pattern Recognition
- matlab实现一些基础的模式识别工作，如贝叶斯分类，聚类算法，bp神经网络(Matlab implements some basic pattern recognition work, such as Bayesian classification, clustering algorithm, BP neural network)