搜索资源列表
knn
- 朴素贝叶斯(Naive Bayes, NB)算法是机器学习领域中常用的一种基于概率的分类算法,非常简单有效。k近邻法(k-Nearest Neighbor, kNN)[30,31]又称为基于实例(Example-based, Instance-bases)的算法,其基本思想相当直观:Rocchio法来源于信息检索系统,后来最早由Hull在1994年应用于分类[74],从那以后,Rocchio方法就在文本分类中广泛应用起来。
java数据挖掘算法
- java数据挖掘算法,里面有c45,chc,fss,id3,nb等方面的算法,及相关源代码-data mining algorithms, and they C45, CHC, FSS, id3, nb areas of algorithms, and related source code
java数据挖掘算法
- java数据挖掘算法,里面有c45,chc,fss,id3,nb等方面的算法,及相关源代码-data mining algorithms, and they C45, CHC, FSS, id3, nb areas of algorithms, and related source code
amr-vad
- amr算法程序,非常实用,商业化版本,VC下编译使用,关键算法可移植-amr algorithm procedures, very practical, commercial version, compiled using VC, the key algorithm can be transplanted
SRC
- 3Gpp规范的AMR语音编解码器c代码,为定点的实现的算法。-3GPP standardized AMR speech codec c code, for the realization of fixed-point algorithms.
knn
- 朴素贝叶斯(Naive Bayes, NB)算法是机器学习领域中常用的一种基于概率的分类算法,非常简单有效。k近邻法(k-Nearest Neighbor, kNN)[30,31]又称为基于实例(Example-based, Instance-bases)的算法,其基本思想相当直观:Rocchio法来源于信息检索系统,后来最早由Hull在1994年应用于分类[74],从那以后,Rocchio方法就在文本分类中广泛应用起来。-Naive
nb
- 机器学习算法中的Naive Bayes算法,JAVA机器学习研究项目之一-Machine learning algorithm in the Naive Bayes algorithm, JAVA, one of machine learning research project
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
AMR-NB-fixed
- 3G移动通信中优化过的语音压缩算法,可用语实际开发-3G mobile communication optimized voice compression algorithm, the actual language development can be
AMR-WB-plus
- 移动多媒体应用的最新的也是最高效的音频编码算法-Mobile multimedia applications, the latest and most efficient audio coding algorithm
NB
- 特征之间非独立的有监督朴素贝叶斯分类算法。参数估计,输入训练集和测试集,得到分类结果和分类准确率-NB
NB
- NB算法,可以帮助理解此算法,数据来自UCI-NB algorithm,just for learning!
PLS
- 这是很全面偏最小二乘法程序,并且具有中文注释,有效帮助大家利用PLS算法。-It is program of Partial least square.It is noted by chinese.
breast_cancer
- 对数据集breast_cancer,用LR,NB算法对其进行操作-On the data set breast_cancer, with LR, NB algorithms manipulate
NB_Algorithm
- 用java语言实现的NB算法,所用数据源为:Optical Recognition of Handwritten Digits-Using java language of the NB algorithm, the data source used is: Optical Recognition of Handwritten Digits
Naive-Bayes-Text-Classification
- 使用Python实现朴素贝叶斯分类,文件夹中附带数据集。实现了NB算法,并进行5倍交叉验证-Naive Bayes classifier using the Python implementation, the folder with the data set. NB implements the algorithm, and 5-fold cross-validation
NB
- 这是基于Weka平台实现的NB算法,该算法代码用于研究实验中。-It is the code for naive bayes model based on Weka, Which is applied to my experiments.
wh
- 大数据,推荐的三种方法GLOBAL ,滤波算法,NB算法的matlab实现-Big data, the recommended three methods GLOBAL, filtering algorithm, NB algorithm matlab implementation
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
codeFramework
- matlab 的naivebayes程序(This is a matlab code naive bayes)