Description: 一个由Mike Gashler完成的机器学习方面的includes neural net, naive bayesian classifier, decision tree, KNN, a genetic algorithm, and some manifold learning algorithms. -by Mike Gashler a complete machine learning includes the neur al net, naive bayesian classifier. decision tree, KNN, a genetic algorithm, manifold and some learning algorithms. Platform: |
Size: 1625088 |
Author:lyb |
Hits:
Description: Classifier4J是一个很好的基于java的分类器,里面有Native bayes和KNN等方法的文本分类.另外还 提供了分词和自动摘要等功能-Classifier4J is a very good java-based classifier, which has Native bayes and KNN methods, such as text classification. It also provides a summary of word segmentation and automatic functions Platform: |
Size: 726016 |
Author:李力 |
Hits:
Description: Bayes分类器——算法设计
1. 使用决策树(Decision tree)分类算法、朴素贝叶斯(Naï ve Bayes)算法或者K-近邻(kNN)算法(三者任选其一)对给定的训练数据集构造分类器,并在测试数据集上进行分类预测。
2. 数据集描述:
Tic-tac-toe游戏的二叉分类。Tic-tac-toe游戏示例如下-Bayes classifier- Algorithm 1. Using the decision tree (Decision tree) classification algorithm, Naive Bayes (Naï ve Bayes) algorithm or K-nearest neighbor (kNN) algorithm (choose any one of three) on a given set of training data classification structure, and the test data Classification and Prediction on the set. 2. Data set description: Tic-tac-toe game binary classification. Tic-tac-toe game example is as follows Platform: |
Size: 1439744 |
Author:vera |
Hits: