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数值算法/人工智能 ApMl provides users with the ability to crawl the web and download pages to their computer in a dire
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
数学计算 分类判别中
分类判别中,bayes判别的确具有明显的优势,与模糊,灰色,物元可拓相比,判别准确率一般都会高些,而BP神经网络由于调试麻烦,在调试过程中需要人工参与,而且存在明显的问题,局部极小点和精度与速度的矛盾,以及训练精度和仿真精度间的矛盾,等,尽管是非线性问题的一种重要方法,但是在我们项目中使用存在一定的局限, ...
数值算法/人工智能 The Molgedey and Schuster decorrelation algorithm, having square mixing matrix and no noise . Trunca
The Molgedey and Schuster decorrelation algorithm, having square mixing matrix and no noise . Truncation is used for the time shifted matrix, and it is forced to be symmetric . The delay Tau is estimated .
The number of independent components are calculated using Bayes Information Criterion (BIC), ...
其他 machine learning, accuracy estimation, cross-validation, bootstrap, ID3, decision trees, decision
machine learning, accuracy estimation, cross-validation,
bootstrap, ID3, decision trees, decision graphs, naive-bayes,
decision tables, majority, induction algorithms, classifiers,
categorizers, general logic diagrams, instance-based algorithms,
discretization, lazy learning, bagging, MineSet. ...
人工智能/神经网络 he algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood form
he algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization.
The number of independent components are calculated using ...
人工智能/神经网络 该程序实现的是一个垃圾邮件过滤系统
该程序实现的是一个垃圾邮件过滤系统,方法采用的是NAIVE Bayes,语料库用的是LINspam—public,程序中有使用说明,希望大家一起探讨改进一下,
matlab例程 采用身高和体重数据作为特征
采用身高和体重数据作为特征,分别假设二者相关或不相关,在正态分布假设下估计概率密度,建立最小错误率Bayes分类器,写出得到的决策规则,将该分类器应用到训练/测试样本,考察训练/测试错误情况。
技术资料 一种基于RBF神经网络的传感器故障诊断方法
针对传感器故障, 提出了一种基于RBF 神经网络的集成故障诊断方法。用RBF 神经网络建立传感器故障模型, 对系统的状态和故障参数进行在线估计, 然后将故障参数与修正的Bayes分类算法(MB 算法)
人工智能/神经网络 一个比较简单的模式识别问题。用female.txt 和male.txt 的数据作为训练样本集
一个比较简单的模式识别问题。用female.txt 和male.txt 的数据作为训练样本集,建立Bayes 分类器,用测试样本数据set1.txt、set2.txt、set3.txt 对该分类器进行测试,分别应用单个特征及两个特征进行实验
技术资料 基于多信息融合的汽轮发电机组故障诊断方法研究
目前汽轮发电机组配备了大量的传感器,如何将各种传感器信息充分利用起来提高诊断准确性是一个很实际的问题。提出了基于多信息融合的汽轮发电机组故障诊断方法,介绍了信息融合的基本概念,给出了基于主观Bayes