搜索资源列表
native-bayes-classifier
- 朴素贝叶斯算法的源代码实现，（含训练数据）-to achieve native bayes classifier
NaiveBayes
- 贝叶斯分类器，机器学习十大经典算法之一，基本的实现-Naive Bayes
Bayes
- 做了C++的贝叶斯分类算法的实现，希望感兴趣的下载-Do realize C++ Bayesian classification algorithm want to download interesting
pythonsrc
- 机器学习算法，包括主成分分析方法，奇异值分解，逻辑回归，最小二乘法线性回归，朴素贝叶斯-machine learning algorithm prototype including PCA, SVD, Logic Regression, LMS and Naive Bayes
NaiveBayes-master
- 对文本信息进行分类，训练和学习，利用朴素贝叶斯算法实现。-Text information on the classification, training and learning, with Naive Bayes algorithm.
Naive-Bayes.py.tar
- Classification algorithm using Naive Bayes. Written for News Group data set. 99 accuracy-Classification algorithm using Naive Bayes. Written for News Group data set. 99 accuracy!!!
naivebayes
- 朴素贝叶斯算法 求导致某一结果或现象发生的最可能的条件-Naive Bayes algorithm for the most likely cause of the condition or a result of the phenomenon
bayes
- 机器学习中的朴素贝叶斯算法，利用python实现的算法-The naive Bayesian algorithm in machine learning, using Python to achieve the algorithm
Bayes
- 本程序是使用的Python写的一个Bayes分类器，通过这个程序可以大致掌握Bayes的原理。-This procedure is used to write a Python Bayes classifier, through this program can be broadly master the principles of Bayes.
bayes
- 首先对数据进行拆分，分为测试集与训练集，通过训练集进行贝叶斯网络的建模，最后利用建立的模型进行预测或分类任务的R语言代码-First, the data is split into a training set and test set, Bayesian network modeling through the training set, and finally the use of the model to predict or classify tasks R language code
bayes
- 基于自然对数改进的朴素贝叶斯,统计TPR,NPR,TFR,TPR-Based on the natural logarithm improved Naive Bayes
NaiveBayesClassifier.m
- I use Matlab 2008a which does not support Naive Bayes Classifier. scr ipt supports normal and kernel distributions. Statistics toolbox for 2008a version is used in the scr ipt. Also includes function for confusionmat
NB_All_Variables
- multi class naive bayes algorithm i coded for predicting football results
AI-Naive
- 利用Python实现朴素贝叶斯分类方法。实现程序具有普适性，同时附带测试数据。可以直接运行。-Python implementations utilizing Naive Bayes classification. Achieve universal program has also included with the test data. It can be run directly.
bayes1
- 朴素贝叶斯法主要根据概率论中的贝叶斯法则，是一种很好的用于文本分析的机器学习算法-Naive Bayes method is a kind of machine learning algorithm based on the theory of probability, which is a good machine learning algorithm for text analysis.
Naive-bayes
- 本文以拼写检查作为例子，讲解Naive Bayes分类器是如何实现的。对于用户输入的一个单词（words），拼写检查试图推断出最有可能的那个正确单词（correct）。当然，输入的单词有可能本身就是正确的。比如，输入的单词thew，用户有可能是想输入the，也有可能是想输入thaw。为了解决这个问题，Naive Bayes分类器采用了后验概率P(c|w)来解决这个问题。P(c|w)表示在发生了w的情况下推断出c的概率。为了找出最有可能c，应找出有最大值的P(c|w)，即求解问题-In this
fenciledebeiyesi
- 中文文本分词系统+基于贝叶斯算法的文本分类源码，用matlab实现。-Chinese word segmentation system+ based on Bayes text classification source code, using matlab implementation.
discriminant-analysis
- 判别样本所属类别的方法，主要包括Fisher判别、朴素Bayes判别和距离判别等-The method for determining the sample belongs to the category of specific methods include Fisher discriminant, discriminant and Bayes discriminant distance
Data-mining
- 5种Python数据挖掘算法：Bayes,Apriori,K-means,ID3,K-data mining of Python
Naive-Bayes
- Python实现朴素贝叶斯分类，即Naive Bayes Classifier（NB），数据集为pima-indians印第安人糖尿病数据集。-Python implementation naive Bayes classifier, i.e. Naive Bayes Classifier (NB), the data set is pima-indians Indians diabetes data sets.