搜索资源列表
bayesfunction
- bayeserr - Computes the Bayesian risk for optimal classifier. % bayescln - Classifier based on Bayes decision rule for Gaussians. % bayesnd - Discrim. function, dichotomy, max aposteriori probability. % bhattach - Bhattacharya s upper limit of
nposs
- Programs to induce a naive possibilistic classifier (a possibilistic analog of the naive Bayes classifier) and to classify new data with an induced naive possibilistic classifier.-Programs to induce a naive possibilistic c lassifier (a possibilistic
SegAndPosTools
- 实现语料的分割,和特征值的提取,还有bayes分类器-achieve Corpus segmentation, and eigenvalue extraction, and bayes classifier
PRAssign
- 脱机手写体识别Matlab源程序 包括特征提取、bayes分类器、K近邻分类及最近邻分类。 Testscr iptRecognition.m:测试代码 scr iptFeaExtract.m :特征提取 KNearestEstimate.m :K近邻估计 NearestEstimate.m : 最近邻估计 BayesTrain.m :训练bayes分类器 Bayes.m :测试bayes分类器 CrossValidate.m :m交叉验证 -Offlin
BayesClassifier
- bayes分类器,本程序根据病人症状可初步诊断疾病-Bayes classifier, this procedure can be based on the patient's symptoms preliminary diagnosis of diseases
bcview
- BCView - Bayes Classifier Visualization Download xbcview Linux executable (218 kb) wbcview.exe Windows executable (196 kb) bcview.zip C sources, version 1.13, 2004.09.14 (175 kb) bcview.tar.gz (160 kb)
naiveBayesClassify
- 机器学习算法,朴素贝叶斯分类器,常用作文本分类,或者用在本体匹配算法中用作相似度的计算-Machine learning algorithm, naive bayes classifier, commonly used ZuoWenBen classification, or use in ontology matching algorithm used in the calculation of similarity degree
BayesClassifier
- 自己做的贝叶斯分类器,包括基本贝叶斯,最小风险贝叶斯以及Neyman-Pearson决策-Do bayes classifier, including basic bayesian, the minimum risk bayesian and Neyman-Pearson decisions
bayes
- 用matlab完成基于最小错误率的贝叶斯分类器的设计-Done with matlab error rate based on the minimum design of Bayesian classifier
matlab_bayes_classifier
- 使用matlab编写的bayes分类器,朴素贝叶斯分类器-Prepared using bayes classifier matlab
Games
- Bayes分类器——算法设计 1. 使用决策树(Decision tree)分类算法、朴素贝叶斯(Naï ve Bayes)算法或者K-近邻(kNN)算法(三者任选其一)对给定的训练数据集构造分类器,并在测试数据集上进行分类预测。 2. 数据集描述: Tic-tac-toe游戏的二叉分类。Tic-tac-toe游戏示例如下-Bayes classifier- Algorithm 1. Using the decision tree (Decision tree) classi
NaiveBayesClassifier
- 利用Java实现的贝叶斯分类器,目的是进行文本分类-Bayesian to web classify
BayesianClasser
- 贝叶斯分类器matlab版,可以用于图像分类,检索,模式识别相关工作-bayes classifier is useful to image classify
NaviveBayesClassify
- java代码的朴素贝叶斯分类器 java代码的朴素贝叶斯分类器 调试通过-java code java code Naive Bayes classifier Naive Bayesian classifier Naive Bayesian classification of java code through debugging
bayesfenleiqi
- 模式识别--VISUAL C++环境下编写的贝叶斯分类器(bayes),值得收藏-Pattern Recognition- VISUAL C++ Environment prepared by Bayesian Classifier (bayes), worthy of collection
depart
- 包括Bayes分类器、线性分类器、非线性分类器、神经网络分类器等-Including Bayes classifier, a linear classifier, non-linear classifier, such as neural network classifiers
K-meansNB
- :将K—means算法引入到朴素贝叶斯分类研究中,提出一种基于K—means的朴素贝叶斯分类算法。首先用K— me.arks算法对原始数据集中的完整数据子集进行聚类,计算缺失数据子集中的每条记录与 个簇重心之间的相似度,把记 录赋给距离最近的一个簇,并用该簇相应的属性均值来填充记录的缺失值,然后用朴素贝叶斯分类算法对处理后的数据 集进行分类。实验结果表明,与朴素贝叶斯相比,基于K—means思想的朴素贝叶斯算法具有较高的分类准确率。-: K-means algorithm will
Class
- 分别通过模板匹配分类器、、Bayes分类器、线性函数分类法、非线性分类法、神经网络分类器对手写字进行模式分类,编写相关的程序可以参考此代码-Respectively, through template matching classifier,, Bayes classifier, a linear function of classification, non-linear classification, neural network classifiers for pattern classi
Handwritten_numeral_recognition
- 手写数字识别,分为分类程序(模板匹配分类器、Bayes分类器、线性函数分类法、非线性分类法、神经网络分类器)和聚类程序(模糊聚类、遗传算法)-Handwritten numeral recognition, is divided into classification procedures (template matching classifier, Bayes classifier, a linear function of classification, non-linear classif
Bayes_EM
- 利用matlab实现的基于EM算法的贝叶斯分类器的源代码,可以用来分类或识别,很值得收藏-Using matlab to achieve EM algorithm based on Bayesian classifier of the source code can be used to classification or identification, it is worthy of collection