Search - Naive Bayes

Search - Naive Bayes - List

[Mathimatics-Numerical algorithms] nposs DL : 0: Programs to induce a naive possibilistic classifier (a possibilistic analog of the naive Bayes classifier) and to classify new data with an induced naive possibilistic classifier.-Programs to induce a naive possibilistic c lassifier (a possibilistic analog of the naive Bayesian classifier) and to classify new data with an induced naive possibilistic classifier.
Date : 2008-10-13 Size : 41.97kb User : 无心
[Mathimatics-Numerical algorithms] ApMl DL : 0: ApMl provides users with the ability to crawl the web and download pages to their computer in a directory structure suitable for a Machine Learning system to both train itself and classify new documents. Classification Algorithms include Naive Bayes, KNN
Date : 2008-10-13 Size : 1.56mb User : 辉腾
[Mathimatics-Numerical algorithms] DataMining_NaiveBayes_CSharp_WIP_100 DL : 0: Data Mining 算法-Data Mining Algorithms
Date : 2025-12-30 Size : 30kb User : samtang
[Mathimatics-Numerical algorithms] nposs DL : 0: Programs to induce a naive possibilistic classifier (a possibilistic analog of the naive Bayes classifier) and to classify new data with an induced naive possibilistic classifier.-Programs to induce a naive possibilistic c lassifier (a possibilistic analog of the naive Bayesian classifier) and to classify new data with an induced naive possibilistic classifier.
Date : 2025-12-30 Size : 42kb User : 无心
[Mathimatics-Numerical algorithms] ApMl DL : 0: ApMl provides users with the ability to crawl the web and download pages to their computer in a directory structure suitable for a Machine Learning system to both train itself and classify new documents. Classification Algorithms include Naive Bayes, KNN -ApMl provides users with the ability to crawl the web and download pages to their computer in a directory structure suitable for a Machine Learning system to both train itself and classify new documents. Classification Algorithms include Naive Bayes, KNN
Date : 2025-12-30 Size : 1.56mb User : 辉腾
[Mathimatics-Numerical algorithms] NaviveBayesClassify DL : 0: 朴素贝叶斯分类算法,可以用来进行分类bayes -Naive Bayesian classification algorithm can be used to classify the Bayes
Date : 2025-12-30 Size : 6kb User : 王兵
[Mathimatics-Numerical algorithms] BayesianCS_src DL : 0: this source about naive bayes program and nice program
Date : 2025-12-30 Size : 4kb User : sean
[Mathimatics-Numerical algorithms] naivebayes DL : 0: This naive bayes classification of documents-This is naive bayes classification of documents
Date : 2025-12-30 Size : 9kb User : sithara
[Mathimatics-Numerical algorithms] lfd_2005_naive DL : 0: Why Naive Bayes? Naive Bayes is one of the simplest density estimation methods from which we can form one of the standard classiˉcation methods in machine learning.
Date : 2025-12-30 Size : 106kb User : rafa
[Mathimatics-Numerical algorithms] 82115127 DL : 0: this source about naive bayes program and nice program div hr di()
Date : 2025-12-30 Size : 3kb User : Curitis
[Mathimatics-Numerical algorithms] 朴素贝叶斯算法 DL : 0: 此处python实现机器学习朴素贝叶斯算法(Here Python implements the naive Bayes algorithm for machine learning)
Date : 2025-12-30 Size : 28kb User : didi1
[Mathimatics-Numerical algorithms] adult DL : 0: 本人课设实现的基于决策树和朴素贝叶斯对Adult数据集进行分类！(Adult dataset is classified based on decision tree and naive bayes!)
Date : 2025-12-30 Size : 567kb User : zxhohai
[Mathimatics-Numerical algorithms] python_self DL : 0: 实现了机器学习的各种分类算法，如：knn，svm，朴素贝叶斯，神经网络，决策树等。(Various classification algorithms of machine learning, KNN, SVM, naive bayes, neural network, decision tree, etc.)
Date : 2025-12-30 Size : 20kb User : 小very
[Mathimatics-Numerical algorithms] bayes_analyse DL : 0: 基于代价敏感的朴素贝叶斯二分类对于不均衡数据的处理(Cost sensitive naive Bayes two classification for unbalanced data processing)
Date : 2025-12-30 Size : 125kb User : 小维威威
[Mathimatics-Numerical algorithms] machine_learning_python-master DL : 0: 通过阅读网上的资料代码，进行自我加工，努力实现常用的机器学习算法。感知机的基本形式和对偶形式的实现 Kmeans和Kmeans++的实现 EM GMM高斯混合和GMM+LASSO的实现实现朴素贝叶斯的基本算法和高斯混合朴素贝叶斯算法实现决策树的基本算法实现adaboost基本算法实现svm基本算法实现逻辑回归基本算法(By reading the data codes on the Internet, we can process ourselves and try to realize the commonly used machine learning algorithm The realization of basic form and dual form of perceptron Implementation of kmeans and kmeans + + EM GMM Gaussian mixture and GMM + lasso implementation The basic algorithm of implementing naive Bayes and Gaussian mixture naive Bayes algorithm The basic algorithm of realizing decision tree Implementation of AdaBoost basic algorithm Implement the basic algorithm of SVM Implement the basic algorithm of logical regression)
Date : 2025-12-30 Size : 2.47mb User : 似水流年19