搜索资源列表
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- 贝叶斯分类器，处理类别为两类，特征值为两个的情况。-Bayesian classifier to deal with two categories, feature is that two cases.
NaiveBayes
- 贝叶斯分类器，用于聚类，人工智能，机器学习-classification, artificial intelligence, machine learning.
test
- 基于朴素贝叶斯的文本分类器，使用Visual C# 2005编写-the text-based Naive Bayesian classifier
Bayesian
- Matlab贝叶斯分类器+(Bayers)程序,程序源码-Matlab Bayesian classifier+ (Bayers) program, program source code
PatterRecognition-4.0
- 模式识别 作业 实现自动产生样本，并用最近距离法，贝叶斯分类，Parzen窗概率密度估计-Pattern recognition operations automatically generate the sample, and with the recent distance method, Bayesian classifier, Parzen window probability density estimation
beiyesi
- 贝叶斯分类算法，是这个算法挺全面的，一起和大家分享-Bayesian Decomposition Method
Bayesian
- 使用VS6.0并用C++编写的贝叶斯控制台应用程序。实现了模式识别中的贝叶斯分类。需手动输入分类的参数。-Use VS6.0 and written with C++ Bayesian console application. Pattern recognition to achieve a Bayesian classification. Require manual input of the classification parameters.
bayescls
- 贝叶斯分类器代码，介绍贝叶斯分类器的功能-Bayesian classifier code, describes the function of the Bayesian classifier
bayes
- 用matlab实现的贝叶斯分类算法，基于先验概率等-bayes algorithm use the matlab,
96940191bayesian
- 贝叶斯分类器相关源码文件 可以做一个较简单的贝叶斯分类器-Bayesian classifier
bayesian
- 数据挖掘——朴素贝叶斯分类算法 朴素贝叶斯分类假定属性之间相互独立，实际应用往往不满足这个条件。-data mining_bayesian algorithm
Bayes
- 贝叶斯分类器 多个文件 可直接运行 模式识别类-Bayesian classifier
bayes_fenleiqi
- 贝叶斯分类器设计。 对两组数据（学生的英语成绩）的分类-Bayesian classifier design. On two sets of data (student performance in English) classification
matlab
- 这是另一个matlab的贝叶斯分类器设计，可用作作业用-This is another matlab Bayesian classifier design can be used as operating with
bayes
- 这是一个用c++实现的贝叶斯分类器程序，可以在c++ 6.0上运行-c plus plus bayes code
Bayes-Classifier-Association-Rules
- 朴素贝叶斯分类是一种简单而高效的分类模型，然而条件独立性假设在现实中很少出，致使其性能有所下降。通过引入关联规则，从两方面来改善朴素贝叶斯分类的性能。一方面，通过对关联规则的挖掘，发现条件属性之间的关联关系，并且利用这种关联关系弱化朴素贝叶斯的独立性假设；另一方面，通过关联规则的置信度，给朴素贝叶斯加权。 -Naive Bayesian classifier is a simple and efficient classification model, the conditional indep
Pattern-Recognition-ppt
- 介绍模式识别的基本概念，详述了贝叶斯，参数估计，线性分类器，神经网络，随机方法，无监督学习与聚类等-Introduce the basic concepts of pattern recognition, Bayesian detailed, parameter estimation, linear classifiers, neural networks, stochastic methods, unsupervised learning and clustering, etc.
Bayes-KNN
- 基于贝叶斯-KNN文本分类算法的设计与实现。 是贝叶斯和ＫＮＮ两种分类算法的结合。-Bayesian-KNN text categorization algorithm design and implementation. Bayes and KNN is a combination of two kinds of classification algorithms.
Bayes
- 朴素的贝叶斯分类器，原理很简单，性能还不错-Naive Bayesian classifier, the principle is very simple, good performance
bayes
- 很完整的朴素贝叶斯分类器，基于openCV做点。先随机生产一个2维特征向量，然后使用贝叶斯来分类并且现实。-Is complete the simple Bayesian classifier, based on openCV to do. First production of a random 2-dimensional feature vector, and then to use Bayesian classification and reality.