搜索资源列表
BP_Adaboost
- 基于BP_Adaboost的强分类器设计-公司财务预警建模-- The company' s financial early warning modeling BP_Adaboost strong classifier design
svmClass
- 这是svm分类器原理，对科研人员和学术研究的人有很大参考价值！-This is the principle of svm classifier, researchers and academic research!
pusu_nb_w
- 带有权重的朴素贝叶斯的分类器，只对离散型数据有效。-With the right to re-Naive Bayes classifier is valid only for discrete data.
machineLearning
- 机器学习-分类器-垃圾邮件系统。数据集来自UCI-spambase.data.-Machine Learning- spam classifier.
biosig4octmat-2.81.tar
- 最新版的biosig4octmat程序，适用于EEG信号的特征提取和分类，以及分类器的性能评价-The the the latest version biosig4octmat program applies to EEG signal feature extraction and classification, and the performance evaluation of the classifier
NaiveBayesClassifier
- 贝叶斯分类器，C语言程序。 -NaivByes Cassifier
svm-ga
- SVM神经网络中的参数优化---利用SVM提升分类器性能，很好-Parameter optimization of SVM neural network--- SVM to enhance the performance of the classifier, good
BP_adaboost
- 基于前馈神经网络（BP）的强分类器设计，利用前馈神经网络实现公司财务预警建模。-Based on the feed-forward neural network (BP) strong classifier design, using a feedforward neural network to achieve the company' s financial early warning modeling.
code
- 人工智能 神经网络 音乐分类器 BP神经网络 实现智能音乐分类-Artificial neural network music classifier, BP neural network intelligent music classification
s3
- 贝叶斯分类实验 掌握利用贝叶斯公式进行设计分类器的方法。-The Bayesian Classification experimental master Bayesian formula designed classifier.
bayes2
- 最小风险贝叶斯决策 模式识别 贝叶斯分类器设计-Minimum risk Bayesian decision pattern recognition Bayesian classifier design
fisher
- 基于Fisher准则线性分类器设计 模式识别 最佳线性分界面 Lagrande乘子求解-Solving the Lagrande multiplier based on the the Fisher criterion linear classifier design patterns to identify the best linear interface
sjwjfenlei
- 决策树分类器 非常好用 大家快来下载 真正的决策树分类器 -The decision tree classifier is very easy to use Come download real decision tree classifier
random-subspace-classifier-ensemble
- 随机子空间集成分类器, 可以实现比bagging 更好的分类和识别-Random subspace classifier ensemble
shuzishibie
- 以数字与字母识别系统的基本处理流程为主线，从待识别数据的获取入手，通过预处理、特征的提取与选择，到分类器的设计等部分都进行了较为详尽的分析与研究，MATLAB仿真实验表明；采用最小距离法对所给出的一组数字及字符图片进行不同的分块识别，最终得出分8块识别率为85.71 ；分16块识别率为95.71 ；分20块识别率为95 ；具有较高的识别率。-The basic process flow of the numbers and letters recognition system as the ma
the-svm-parameter-optimization
- SVM神经网络中的参数优化，用以提升分类器的性能-The SVM parameters optimization of neural network
NPC
- 一个程序来诱使一个天真的可能性分类的朴素贝叶斯分类器（可能性模拟）和诱导幼稚的可能性分级分类新的数据。-A program 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.
a-nonlinear-SVM-classifier
- 这是非线性svm分类器的matlab代码，不仅有代码，而且有数据。-This is matlab code of a nonlinear SVM classifier , which not only has the code, but the data.
ganzhiqi
- 感知器程序 感知器的分类器的设计 matlab程序-Perceptron procedure perceptron classifier design matlab program
Filter.py
- 利用贝叶斯分类器写的垃圾邮件过滤器，准确率达98 -A spam email filter with Naive Bayes.