搜索资源列表
matlab作业
- 模式识别一份很好的作业,包括线性分类器；最小风险贝叶斯分类器；监督学习法分层聚类分析；K－L变换提取有效特征,支持向量机-a very good operation, including linear classification; Minimum risk Bayesian classifier; Supervised learning method Hierarchical clustering analysis; K-L transform effective features, supp
BayesianNetworksTools
- 贝叶斯网络的一个很好用的工具箱，基于matlab7.0版本。有stanford大学的一个博士生编写；属于源代码开放性质。-Bayesian network of a good toolbox, for matlab7.0 version. Stanford university has a doctoral preparation; Belong to the open nature of the source code.
bayes
- bayes数据挖掘；基于贝叶斯定理的分类方法
viterbi_de
- 卷积码译码霍夫曼编码及数学概率论贝叶斯公式； 卷积译码软判决通过3位量化可以比硬判决提高约2dB信噪比； 了解最大似然译码准则； -Soft Decoding Scheme of Convolution Codes Combined with Huffman Coding.Simulation study of the performance of ternary line codes under Viterbi decoding & Soft-decision decoding
Example4
- 采用贝叶斯正则化算法（抑制过拟合）提高 BP 网络的推广能力，采用两种训练方法， 即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr），用以训练 BP 网络；-Bayesian regularization algorithm (inhibition of over-fitting) to improve the generalization ability of BP network, using two training methods, that LM opti
ClassficationBaseOnAssociation
- 贝叶斯分类器的改进 在windows 平台下实现；-Improvement of Bayes classfication It is implement in windows.
Bayes_1
- 首先，对CATEGORY中的txt文件分类； 其次，对多个txt文件中的英文文本进行分词； 最后，通过贝叶斯公式进行分类；-First, in the txt file CATEGORY classification Secondly, multiple txt files in English text word Finally, by Bayes formula to be classified
work_for_pattern_recognition
- 通过设计线性分类器；最小风险贝叶斯分类器；监督学习法分层聚类分析；K－L变换提取有效特征，设计支持向量机对给定样本进行有效分类并分析结果。-By designing a linear classifier minimum risk Bayes classifier supervised learning method hierarchical cluster analysis K-L transform to extract efficient features, designed to
beiyesi
- 1 通过实验，掌握多元正态分布的最大似然估计； 2 掌握多元正态分布下的最小错误率的贝叶斯分类； 3 对其他的参数估计有更深的认识。 -1 experiment, master multivariate normal distribution maximum likelihood estimation 2 multivariate normal distribution under the minimum control error rate Bayesian classifier
最小错误率贝叶斯决策
- 基于最小错误率的贝叶斯决策 （1）要决策分类的类别数是一定的；（2）每一类出现的“先验概率”已知；（3）每一类的“类条件概率密度”已知；(Bayesian Decision Based on Minimum Error Rate(1) the "prior probabilities" of each class are known; (2) the "conditional probability density" of each class is kn
matlab 贝叶斯和通用阈值软阈值图像去噪方法
- matlab 贝叶斯和通用阈值软阈值图像去噪方法MATLAB程序，希望对大家有帮助，仅供大家参考，希望有用(Matlab Bias and general threshold soft threshold image denoising method MATLAB program, we want to help, for your reference, I hope useful)
BPFA_Denoising
- 利用非参数贝叶斯字典学习模型进行图像稀疏表示(use non-parametric-bayesian-dictionary-learning-for-sparse-image-representations)
work
- 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？(1) taking height as an example, draw the histogram of male and f
SpatialModels
- 区域健康和死亡率变化的贝叶斯模型；彼得·康登，统计和地理中心，QMUL(Bayesian models for area health and mortality variations; an overview Peter Congdon, Centre for Statistics and Dept of Geography, QMUL)
bayes_C++
- 贝叶斯分类器-联合变量_C++，只需更改样本文件名即可测试。(The Bias classifier - the joint variable _C++, can be tested only by changing the name of the sample file.)
bayes_independent variable _C++
- 贝叶斯分类器-独立变量_C++，只需更改样本文件名即可测试。(Bias classifier - independent variable _C++, can be tested only by changing the name of the sample file.)
bayes_independent variable _matlab
- 贝叶斯分类器-独立变量_matlab，只需更改样本文件名即可测试。(Bias classifier - independent variable _matlab, can be tested only by changing the name of the sample file.)
bayes_joint variable _matlab
- 贝叶斯分类器-联合变量_C++，只需更改样本文件名即可测试。(The Bias classifier - the joint variable _C++, can be tested only by changing the name of the sample file.)
bayes_analyse
- 基于代价敏感的朴素贝叶斯二分类对于不均衡数据的处理(Cost sensitive naive Bayes two classification for unbalanced data processing)
贝叶斯判决
- 假定某个局部区域细胞识别中正常w1和非正常w2 两类先验概率分别为： 正常状态：P(w1)=0.9 ； 异常状态：P（w2）=0.1 。 现有一系列待观察的细胞，其观察值为： -2.67 -3.55 -1.24 -0.98 -0.79 -2.85 -2.76 -3.73 -3.54 -2.27 -3.45 -3.08 -1.58 -1.49 -0.74 -0.42 -1.12 4.25 -3.99 2.88 -0.98 0.79 1.19 3.07 两类的类条件概率符合正态分布