搜索资源列表
algorithm
- 最小二乘辨识的五种算法：Bayes辨识程序，递推最小二乘，梯度校正最小二乘，增广最小二乘，最小二乘一次完成算法-Identification of the five least-squares algorithm: Bayes identification procedures, recursive least squares, least-squares gradient Calibration, Augmented least squares, least-squares algorithm
NB
- 朴素贝叶斯算法，以函数形式实现，花了一个上午的时间-Naive Bayes algorithm, in order to function the form of implementation, a morning flower time
NaiveBayesPresentation
- it s explain about Naive Bayes simplicity
Bayes
- 该代码包是一个基于贝叶斯分类器的分类程序，内含数据集、可运行程序-The code package is a classifier based on Bayesian classification procedures, including data sets, can run the program
beiyesifenbu
- 分类判别中，bayes判别的确具有明显的优势，与模糊，灰色，物元可拓相比，判别准确率一般都会高些，而BP神经网络由于调试麻烦，在调试过程中需要人工参与，而且存在明显的问题，局部极小点和精度与速度的矛盾，以及训练精度和仿真精度间的矛盾，等，尽管是非线性问题的一种重要方法，但是在我们项目中使用存在一定的局限，基于此，最近两天认真的研究了bayes判别，并写出bayes判别的matlab程序，与spss非逐步判别计算结果一致。-Classified Identifying, bayes discrim
Bayesian
- implement bayes form spam filter (java source code)
discretization
- 介绍数据挖掘里的离散化算法，对连续属性进行离散化的数据预处理-discretizaion for naive bayes method in the data mining
Matlab_bayes
- bayes分类，matlab实现。可以实现数字的识别-matlab guiyi
subattribspace
- 朴素贝叶斯matlab实现，基于matlab编程-Naive Bayes matlab to achieve, based on the matlab programming
bayes
- 贝叶斯决策包含最小风险和最小错误概率两种情况的仿真-Bayesian decision-making included the minimum risk and minimum error probability of the two simulation
Bayes_xiugai
- 设计一种BAYSE 分类器完成对IRIS 数据库的分类-Bayes classifier for iris database
fisherandbayes
- 模式识别实验作业 bayes 和 fisher 线性分类器 有实验报告-Pattern Recognition and bayes experimental operation fisher linear classifier experimental report
Bayes
- 基于贝叶斯分类法的c++程序大家可以参考一下-Bayesian classification based on the c++ program you can refer to! !
partest
- This function calculate the performance, based on Bayes theorem, of a clinical test. The input is based on a 2x2 matrix (true positive, false positives false negative, true negatives). The Outputs are: - Prevalence of disease - Test Sensibility
NativeBayes
- Bayes算法，很好的分类算法。自己编了很久，供大家分享-it is good!
Bayes
- 贝叶斯实现方法 很简单使用 希望大家继续完善-bayes
10Algorithms-08
- This paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART. These top 10 algorithms
Bayes
- 基于RGB彩色图像的matlab图像分割-RGB color images based on image segmentation matlab
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
bayes
- 贝叶斯分类和后面的线性、非线性分类器属于有监督学习。 -Bayesian classification and the back of the linear, non-linear classifier belong to supervised learning.