搜索资源列表
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
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
- 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
SVM-and-NB
- 支持向量机与朴素贝叶斯算法，对数据进行分类后深度了解数据的结构-Support vector machine and naive Bayes algorithm.Classifying the data and understanding the structure of the data in depth
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.
NBC
- 朴素贝叶斯模型，用来做大数据的分类，是一种很简单易上手的模型，代码很简单，有例子。(Naive Bayes model is used to enlarge the classification of data)
Url
- 利用朴素贝叶斯BS实现从HTTP数据流中识别出用户基于浏览器访问的URL(Using the naive Bayes BS to realize the user based browser access based URL from the HTTP data stream)