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feature-extraction
- 在模式识别中，样本的特征选取是很重要的，大大的影响识别率，样本的特征提取-In pattern recognition, feature selection of samples is very important, and greatly affect the recognition rate, sample extraction
feature.tar
- 多级CGH数据分类和特征选择算法，可以直接运行的一些资料，希望对大家有帮助！-Classification and feature selection algorithms for multi-class CGH data
Kuschner-BayesianNetwork-feature
- Kuschner论文，贝叶斯网络方法在质谱数据特征选择。其中关于机器学习中贝叶斯分类器部分有完整原理分析，可以用于认知无线电网络的频谱感知等新领域。含有matlab程序大于100页，子函数很多。-Kuschner paper, Bayesian network methods of feature selection in mass spectrometry data. One of the Bayes classifier machine learning part of a complete
Self-adaptive-evolution-feature
- 2013 Self-adaptive differential evolution for feature selection in hyperspectral image data
feature-selection
- 它指的是使用计算机提取图像信息，决定每个图像的点是否属于一个图像特征。特征提取的结果是把图像上的点分为不同的子集，这些子集往往属于孤立的点、连续的曲线或者连续的区域。 -It refers to the use of computer to extract image information, decide whether each image point belongs to an image feature. The results of feature extraction is t
gene-selection
- gene feature selection matlab code
somol-filter--versus-wrapper-based-feature-select
- somol-filter- versus wrapper-based feature selection for credit scoring
feature-selection
- eature selection, also known as variable selection, attribute selection or variable subset selection, is the process of selecting a subset of relevant features for use in model construction
hierarchical-feature-selection
- 基于Matlab语言的层次特征算法，用于实现图像特诊的提取-Hierarchical feature algorithms based on Matlab language, for the extraction of images to achieve the special diagnosis!!
2-separability-based-feature-s
- 2快速separability-based特征选择方法highdimensional遥感图像分类模式识别_guo_pattrec 41(8)1670 - 1670 1670 -2 A fast separability-based feature selection method for highdimensional remotely-sensed image classification Pattern Recognition 41 (8) 1670-1679 2008
mulimodel-data-and-feature-selection
- 多模态数据的特征提取方法：时间序列数据及DTW高斯核,图像数据及直方交核 和字符串数据及字符串核-Feature extraction method of multi modal data, time series data and DTW Gauss, the image data and the histogram intersection kernel and string data and String Kernel
feature-selection113
- 粗糙集；特征选择；核属性；不可分辨关系；依赖度；-rough set ；feature selection；Nuclear properties；indiscernibility relation；dependence
ORDINAL-FEATURE-ANALYSIS
- 本文讨论了故障严重程度识别中的特征评价和特征选择算法。将严重程度识别问题中的特征分为非单调特征和单调特征，分别设计了不同的特征评价指标和特征选择算法，为故障严重程度识别提供了可行的方案。-This article discusses the failure to identify the severity of the feature in the comments and feature selection algorithms. The severity of the problem of
band-selection
- 基于图像对比度和波段相关性的波段选择算法，适用于高光谱图像的特征选择-Bands selection algorithm based on image contrast and correlation of bands for hyperspectral image feature selection
feature-selcetion
- 多变量评估系统的变量选择问题-变量选择介绍-An Introduction to Variable and Feature Selection
pca-feature-sel
- tHIS FILE DESCRIBES THE FEATURE SELECTION TECHNIQUE FOR MAMMOGRAM FEATURES
feature-selection
- 特征值提取MATLAB源代码，效率高，提取准确-Feature extraction
Bat-Selection
- 这是一种蝙蝠特征选择，其目标是从一个给定的一组特征中找到最重要的信息，优化数据-This code use as optimization of data by row or coulmn Feature selection aims to find the most important information a given set of features
duotezhengzishiyingyuzhi
- 多特征自适应阈值选取(Multi feature adaptive threshold selection)
featureSelection-master
- Feature subset selection