Description: 一个很好的文本分类器，采用朴素贝叶斯分类的方法，并加以改进！-a very good text classifiers using Bayesian classification methods, and improved! Platform: |
Size: 75011 |
Author:lethe |
Hits:
Description: a Java toolkit for training, testing, and applying Bayesian Network Classifiers. Implemented classifiers have been shown to perform well in a variety of artificial intelligence, machine learning, and data mining applications. -a Java toolkit for training, testing, and applying Bayesian Network Classifiers. Im plemented classifiers have been shown to perfo rm well in a variety of artificial intelligence , machine learning, and data mining applications. Platform: |
Size: 504530 |
Author:lyb |
Hits:
Description: 一个很好的文本分类器，采用朴素贝叶斯分类的方法，并加以改进！-a very good text classifiers using Bayesian classification methods, and improved! Platform: |
Size: 3564544 |
Author:lethe |
Hits:
Description: a Java toolkit for training, testing, and applying Bayesian Network Classifiers. Implemented classifiers have been shown to perform well in a variety of artificial intelligence, machine learning, and data mining applications. -a Java toolkit for training, testing, and applying Bayesian Network Classifiers. Im plemented classifiers have been shown to perfo rm well in a variety of artificial intelligence , machine learning, and data mining applications. Platform: |
Size: 503808 |
Author:lyb |
Hits:
Description: 基于文献《Boosted Bayesian Network Classifiers》的实现代码。-Based on the literature Boosted Bayesian Network Classifiers the realization of the code. Platform: |
Size: 64512 |
Author:minghongxie |
Hits:
Description: 利用matlab软件对模式识别进行了很好的仿真，利用贝叶斯分类器对男女生进行了很好的分类。-Pattern recognition using matlab software had a very good simulation, the use of Bayesian Classifiers for boys and girls had a very good classification. Platform: |
Size: 47104 |
Author:倪继峰 |
Hits:
Description: This package contains Matlab m-files for learning finite Gaussian mixtures from sample data and performing data classification with Mahalanobis distance or Bayesian classifiers. Each class in training set is learned individually with one of the three variations of the Expectation Maximization algorithm: the basic EM algorithm with covariance fixing, the Figueiredo-Jain clustering algorithm and the greedy EM algorithm.
The basic EM and FJ algorithms can handle complex valued data directly, the greedy EM algorithm cannot.
Platform: |
Size: 20480 |
Author:李 |
Hits:
Description: Pattern recognition using matlab software had a very good simulation, the use of Bayesian Classifiers for boys and girls had a very good classification. Platform: |
Size: 1024 |
Author:FOUFOU2 |
Hits:
Description: 贝叶斯网络分类，matlab语言编写的，是一个很不错的算法-Bayesian network classifiers, matlab language, is a very good algorithm Platform: |
Size: 1768448 |
Author:julie |
Hits:
Description: 这是自己写的一个贝叶斯网络分类器，可能存在问题，自己调一下-This is to write a Bayesian network classifiers, there may be problems, make your own look Platform: |
Size: 2019328 |
Author:xule |
Hits:
Description: 贝叶斯分类器的分类原理是通过某对象的先验概率，本文详细介绍贝叶斯分类器，使用贝叶斯分类器对样本进行训练分类，得到良好分类结果，并对分类结果进行分析。-Principle of Bayesian classifiers is through prior probability of an object, the paper describes Bayesian classifier, Bayesian classifier using the training sample classification, the classification results are good, and the classification results were analyzed. Platform: |
Size: 75776 |
Author:liangjin |
Hits:
Description: jBNC is a Java toolkit for training, testing, and applying
Bayesian Network Classifiers. Implemented classifiers have been
shown to perform well in a variety of artificial intelligence,
machine learning, and data mining applications.
jBNC is primarily intended as a library for creation of Bayesian
Classifier networks. Several algorithms for creation of networks
are included.
To aid testing the quality of classifier network a couple of simple
command line tools for training and testing are included, see section
TOOLS for more details.
There is also a separate package called jBNC-WEKA that integrates
jBNC with WEKA (Waikato Environment for Knowledge Analysis
http://www.cs.waikato.ac.nz/~ml). jBNC-WEKA allows creation of
jBNC classifiers from within WEKA, in particular, using WEKA s
graphical user interface. For more info see jBNC homepage. Platform: |
Size: 828416 |
Author:sakthivel |
Hits:
Description: 对五种典型的贝叶斯网分类器进行了分析与比较。在总结各种分类器的基础上，对它们进行了实验比较，讨论了各自的特点，提出了一种针对不同应用对象挑选贝叶斯网分类器的方法。 -Of five kinds of typical bayesian network classifiers are analyzed and compared. On the basis of summarizing the various classifiers, experiments have been carried out to compare them, discusses their features, put forward a kind of according to different application object selection method of bayesian network classifier.
Platform: |
Size: 6144 |
Author:楼梯 |
Hits:
Search - Bayesian classifiers