Description: 用matlab完成基于最小错误率的贝叶斯分类器的设计-Done with matlab error rate based on the minimum design of Bayesian classifier Platform: |
Size: 2048 |
Author:leo |
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Description: 贝叶斯分类器，处理类别为两类，特征值为两个的情况。-Bayesian classifier to deal with two categories, feature is that two cases. Platform: |
Size: 3072 |
Author:吴唯 |
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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 |
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Description: 贝叶斯分类器代码，介绍贝叶斯分类器的功能-Bayesian classifier code, describes the function of the Bayesian classifier Platform: |
Size: 1024 |
Author:王涛 |
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Description: 贝叶斯分类器设计。 对两组数据（学生的英语成绩）的分类-Bayesian classifier design. On two sets of data (student performance in English) classification Platform: |
Size: 1024 |
Author:glw |
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Description: 这是另一个matlab的贝叶斯分类器设计，可用作作业用-This is another matlab Bayesian classifier design can be used as operating with Platform: |
Size: 1024 |
Author:glw |
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Description: 朴素的贝叶斯分类器，原理很简单，性能还不错-Naive Bayesian classifier, the principle is very simple, good performance Platform: |
Size: 1008640 |
Author:王永超 |
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Description: 很完整的朴素贝叶斯分类器，基于openCV做点。先随机生产一个2维特征向量，然后使用贝叶斯来分类并且现实。-Is complete the simple Bayesian classifier, based on openCV to do. First production of a random 2-dimensional feature vector, and then to use Bayesian classification and reality. Platform: |
Size: 1024 |
Author:张宇 |
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Description: 利用贝叶斯公式进行设计分类器的设计，分别做出协方差相同和不同两种情况下的判别分类边界。
-Designed using Bayes classifier design, respectively, to make the same and different covariance both cases, the discriminant classification boundaries. Platform: |
Size: 1024 |
Author:刘峰 |
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Description: 类的目的就是根据现有的图像特征建立一个分类器，能够对未知的图像类型进行预测。在现有众多分类
算法中，贝叶斯分类器由于其坚实的数学理论基础并能综合先验信息和数据样本信息，成为"-3前机器学习和数据挖
掘的研究热点之一。本文论述了内容图像检索中基于贝叶斯分类器的图像分类技术。介绍了贝叶斯分类器，叙述了
利用贝叶斯分类器进行图像分类的方法，以及图像特征的分布假定。最后通过对分类器的探讨，总结了贝叶斯估计
分类的不足。-The purpose of class is based on an existing image features to create a classifier able to predict the unknown image type. Many of the existing classification algorithm, the Bayesian classifier because of its solid mathematical theory-based and comprehensive information prior information and data samples, a " -3 before the machine learning and data mining research focus of this paper discusses the Content-based Image Retrieval Bayesian classifier image classification techniques. introduced Bayesian classifier, described the use of Bayesian classifier for image classification methods, and the distribution of image features is assumed finally by classifier discussion summarizes the classification of the lack of Bayesian estimation. Platform: |
Size: 260096 |
Author:刘东 |
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Description: 这是一个贝叶斯分类器，用于人工智能的科研学习和工作，有例子可以参考-Bayesian classifier, artificial intelligence for research study and work, there are examples you can refer to Platform: |
Size: 3072 |
Author:ji |
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Description: 《模式识别》，是本人用matlab语言编程来实现贝叶斯分类器的设计-" Pattern recognition" is a programming language I use matlab to implement Bayesian classifier design Platform: |
Size: 245760 |
Author:gxfnkm |
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Description: 这是用身高体重数据进行性别分类的实验。
用最小错误率贝叶斯分类器决策时，首先通过比较概率大小判断一个体重身高二维向量代表的人是男是女，然后再逐一与已知性别的数据比较，就可以得到错误率的统计。然后改变先验概率，重复上面的过程，观察数据结果的变化。
用最小风险贝叶斯分类器决策时，首先求出用最小错误率贝叶斯分类器得到的条件概率；然后根据人为给定的决策表，根据公式算出条件风险；然后逐一比较条件风险，找出使条件风险最小的决策（也就是分类）。最后用分类得到的结果逐一比较已经知道的原始数据，统计处错误率。
-This is the height and weight data for gender classification experiment.
With the minimum error rate Bayesian classifier decisions , first by comparing the probability of the size and weight to height to determine a person represented by two-dimensional vector is male or female , and then one by one with known gender data comparison, the statistical error rate can be . Then change the prior probability , repeat the above process , the results of the changes observed data .
Bayesian classifier with the minimum risk decision-making , first find the minimum error rate using Bayesian classifier to get the conditional probability then artificially given decision table , according to the formula to calculate conditional risk and then one by one more conditional risk , to find ambassador to the conditions of minimum risk decision making (ie classification) . Finally, the results obtained with the classification by-side comparison of the raw data have been aware of SD error rate .
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Size: 90112 |
Author:崔杉 |
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Description: 基于java语言实现的贝叶斯分类器，可以用于中文或者英文进行分类-Bayesian classifier based on the java language, Chinese or English can be used to classify Platform: |
Size: 15360 |
Author: |
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