搜索资源列表
NB
- 自己编写的朴素贝叶斯分类器，经实测效果不错，供文本分类的研究人员相互学习-I have written a naive Bayes classifier, measured results are good for text classification researchers learn from each other
HL
- 经过调试过的朴素贝叶斯分类器，可以正常使用。-After debugging through the Naive Bayes classifier, can be used normally .
beiyesi
- 在matlab环境下的一个朴素贝叶斯分类器，大家可以学习参考下-Matlab environment a Naive Bayes classifier, we can learn to refer to the following
MLNB
- 朴素贝叶斯分类器，朴素贝叶斯分类器朴素贝叶斯分类器-Naï ve Bayes Classification,Naï ve Bayes Classification,Naï ve Bayes Classification
CT-tracking
- 一种简单高效地基于压缩感知的跟踪算法。首先利用符合压缩感知RIP条件的随机感知矩对多尺度图像特征进行降维，然后在降维后的特征上采用简单的朴素贝叶斯分类器进行分类。该跟踪算法非常简单，但是实验结果很鲁棒，速度大概能到达40帧/秒-A simple and efficient tracking algorithm based on compressed sensing. Firstly, with the random sensing matrix compressed sensing RIP co
DataMining
- 酒数据挖掘，朴素贝叶斯分类器，把酒分成3类-Wine data mining, naive Bayes classifier, the wine is divided into three categories
BayesianClasser
- 贝叶斯分类器Matlab实现 机器学习算法，用于分类的朴素贝叶斯分类器，Navie Bayesian Classifier 。-Bayesian classifier Matlab achieve machine learning algorithms for classification Naive Bayes classifier, Navie Bayesian Classifier.
NB
- 朴素贝叶斯分类器，Data为总数据矩阵,Train_Dat为训练样本,Test_Dat为测试样本，用来实现对测试样本进行分类~可以从UCI下载数据调用使用~-Naive Bayes classifier, Data for the total data matrix, Train_Dat of training samples, Test_Dat test sample, the test samples were used to achieve the classification of ~
Matlab-Naive--Bayer
- 朴素贝叶斯分类器程序 对新手大有帮助 快速入门-Naive Bayes
Bayes
- 朴素贝叶斯分类器，能实现高准确的分类，且速度快-Naive Bayes classifier, can achieve high accuracy of classification and fast
Ch04
- 概率论的分类方法。实例：使用朴素贝叶斯分类器从个人广告中获取区域倾向-Classifying with probability theory: naï ve Bayes
Naivebayes-classification
- 简单朴素贝叶斯 分类器，针对数值型和名称型属性的分类基本算法。-Simple bayesian classifier, in view of the numeric type and name attributes the classification of the basic algorithm.NaiveBayesSimple.java * Copyright (C) 1999 University of Waikato, Hamilton, New Zealand
NB_for_text_classification
- 文本分类：朴素贝叶斯分类器例子，采用Multi-Variate Bernoulli Event Model。一个文件为训练，一个文件为测试，采用20newsgroups数据集。-Text classification: Naive Bayes classifier example, the use of Multi-Variate Bernoulli Event Model. A file for training, a file for testing, using 20newsgroups
bayes
- 用Python写的，基于概率论的分类方法，朴素贝叶斯分类器-Written in Python, based on probability theory classification, naive Bayes classifier
NBC
- 迁移朴素贝叶斯分类器算法实现，可用于高光谱遥感图像处理-Migration naive Bayes classifier algorithm can be used for hyperspectral remote sensing image processing
naive-bayes-spam-filter-master
- 基于朴素贝叶斯分类器写的垃圾邮件过滤系统-machine learning bayes
CT_code_matlab
- 一种简单高效地基于压缩感知的跟踪算法。首先利用符合压缩感知RIP条件的随机感知矩对多尺度图像特征进行降维，然后在降维后的特征上采用简单的朴素贝叶斯分类器进行分类-Real-time Compressive Tracking proposed by Kaihua Zhang in The Hong Kong Polytechnic University
compressiveTracking
- 压缩跟踪 是一种简单高效地基于压缩感知的跟踪算法。首先利用符合压缩感知RIP条件的随机感知矩对多尺度图像特征进行降维，然后在降维后的特征上采用简单的朴素贝叶斯分类器进行分类。该跟踪算法非常简单，但是实验结果很鲁棒，速度大概能到达40帧/秒-Compression tracking A simple and efficient tracking algorithm based on compression perception. First use of random eligible for c
NaiveBayes
- python实现的朴素贝叶斯分类器，以及垃圾邮件分类的一个应用，包括处理的数据- python implement Naive Bayes classifier, and an application spam classifications, including data processing
MachLearn_ml
- MachLearn:已经实现了朴素贝叶斯分类器、决策树、支持向量机算法。在Linux上可成功编译-MachLearn: has achieved a naive Bayes classifier, decision trees, support vector machine algorithm. Successfully compile on Linux