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hercma2007
- this file contains a ppt on feature selection for regression problem
SelectFeatures
- 用C#实现的arcObjects要素选择.-feature selection
Si1000
- SILICON 的单芯片 无线收发芯片，240~960， 内置51核。-- SI10-Si1000/1/2/3/4/5 devices are fully integrated mixed-signal system-on-a-chip MCUs. Highlighted features are listed below. Refer to Table 2.1 for specific product feature selection and part ordering numb
ForwardStepwiseSelection
- Forward Feature Selection Algorithm (Java)
Image_Feature_Selection_Method_Based_on_Immune_Enc
- 针对目标与背景两类图像模式识别问题,在已有的特征选择方法基础上,提出了一种新颖的基于免疫分子编码机理的图像特征选择方法(IACA). 该方法借鉴生物免疫系统的抗体分 子编码机理,在对样本进行参数估计情况下,提出熵度量单个特征对于目标和背景的识别敏感度 从集合的角度研究并且定义了特征之间的包含和互补关系 并且基于组成抗体分子氨基酸结合能量最小原则,提出了关于图像目标的免疫抗体构建规则 最终实现了寻找最优特征子集的算法IACA ,该特征子集的维数通过算法自动获得无需人为设定,选择结果为目标的“免
abcd
- 电子投票平台有两大功能是：身份验证和投票。它包括功能选择；身份验证；投票人管理模块；候选人管理模块；投票区和得票结果管理六大模块。保证了不同人有自己的操作，同时又不能执行别人的操作，具有安全性,并且又有一定的实用性。-Electronic voting platform has two functions: authentication and vote. It includes feature selection authentication voters management modul
beesadnan
- ABC algorithm code feature selection-ABC algorithm code feature selection
a
- SVM 特征选取的c代码，训练正负两类样本快速提取-C code for SVM feature selection, training, rapid extraction of the two kinds of positive and negative
kernelpca_tutorial
- Kernel pca基于核方法的特征提取算法-feature selection
Chinese-text-categorization-Study
- 本文通过对Bayes、KNN、SVM 应用于中文文本分类进行比较实验研究。 应用ICTCLAS 对中文文档进行分词，在大维数，多数据情况下应用TFIDF 进行 特征选择，并同时利用它实现了对特征项进行加权处理，使文本库中的每个文本 具有统一的、可处理的结构模型。然后通过三类分类算法实现了对权值数据进行 训练和分类。-Based on the Bayes, KNN, SVM applied to compare the Chinese text ca
fsga_2
- This a feature selection program.-This is a feature selection program.
method
- method粗糙集的地面目标识别特征量选取方法-Rough set the amount of artillery ground target recognition feature selection method
ati
- 邻域粗糙集在轮对踏面缺陷图像特征选择的应用-Neighborhood rough sets in wheel tread defects application image feature selection
pluslr
- 顺序前进法特征选择，顺序后退法特征选择计算正确率-Sequential forward feature selection method, the sequence backward feature selection method to calculate the correct rate
question4
- 特征选择与变换的算法实现,计算贡献率与主成分分析-Feature selection and transformation algorithms to calculate the contribution rate and principal component analysis
e4k-means-althogrim
- 基于K—Means的中文文本聚类算法的研究和实现。中文文本聚类的主要技术，特征选择，共享最近邻的K-Means的改进算法。基于k-Means的实现和实验。-Based on the Chinese version of K-Means clustering algorithm and implementation. The main technology of Chinese Text Clustering, feature selection, shared nearest neighbor
Corr.-Based-Feature-Selection
- STPRTOOL Documentation
feature_selection
- 特征选择-feature selection。。。。。。。。
Texturefeatureselect
- 摘 要: 本文基于Landsat7ETM+全色图像,以浙江省临安市大峡谷镇为研究区,进行基于遗传算法的遥感图像纹理特征选择的研究-Abstract: This article is based Landsat7ETM+ panchromatic image to the Grand Canyon Town, Lin' an City, Zhejiang Province, for the study area, genetic algorithm-based remote sensing
audio-qualities
- 1、顺序后退法特征选择算法 2、SFFS 特征选择算法 3、ISD算法 4、LLR算法 5、CZD算法-1, the order backward method of feature selection algorithm 2, SFFS feature selection algorithm 3, ISD algorithm 4, LLR algorithm 5, CZD algorithm