Search - feature selection

Search - feature selection - List

[Graph program] feature_selection DL : 1: 自己编的特征选择程序，分别包括用顺序前进法(SFS),顺序后退法(SBS),增l 减r 法(l–r)、SFFS法进行选择的程序-own addendum to the feature selection procedures, including the use of sequential forward (SFS). back order (SBS), by reducing r l (l-r), SFFS method to choose the procedure
Update : 2025-02-17 Size : 4kb Publisher : 夏玉
[File Format] Srinivas_Mukkamala DL : 0: 两种SVM特征选择方法，用PPT详细的阐述了作者的思路和实验情况，非常清除明白。-two feature selection method, the PPT detailed description of the author's ideas and experiments, understand very clear.
Update : 2025-02-17 Size : 56kb Publisher : renxunyi
[JSP/Java] Kdd DL : 0: 特征选择算法的改进．．．比较实践证明是个优秀的算法-feature selection algorithm improvements. . . Practice has proved that it is more an outstanding Algorithm
Update : 2025-02-17 Size : 2kb Publisher : 陈孟
[Other systems] FCBF-java DL : 0: Feature selection is a preprocessing technique frequently used in data mining and machine learning tasks. It can reduce dimensionality, remove irrelevant data, increase learning accuracy, and improve results comprehensibility. FCBF is a fast correlation-based filter algorithm designed for high-dimensional data and has been shown effective in removing both irrelevant features and redundant features
Update : 2025-02-17 Size : 63kb Publisher : zhaoyingjie
[Other] featureselection DL : 0: feature-selection-with-acquisition cost-for-optimizing-sensor-system-design.pdf
Update : 2025-02-17 Size : 724kb Publisher : xiang
[Documents] Featureselectiontodiagnoseabusinesscrisisbyusingar DL : 0: 用遗传算法进行特征选择并优化支持向量机的核函数参数和惩罚因子-Using genetic algorithm feature selection and optimization of SVM kernel function parameters and punish factor
Update : 2025-02-17 Size : 197kb Publisher : wangrenjie
[matlab] lda DL : 0: 经典的LDA特征选择算法，用matlab实现，包括数据集-LDA classic feature selection algorithm, using matlab to achieve, including a data set
Update : 2025-02-17 Size : 13kb Publisher : shall
[matlab] @linear DL : 0: 针对SVM法线特征筛选算法仅考虑法线对特征筛选的贡献,而忽略了特征分布对特征筛选的贡献的不足,在对SVM法线算法进行分析的基础上,基于特征在正、负例中出现概率的不同提出了加权SVM法线算法,该算法考虑到了法线和特征的分布.通过试验可以看出,在使用较小的特征空间时,与SVM法线算法和信息增益算法相比,加权SVM法线算法具有更好的特征筛选性能.-Normal feature selection for SVM algorithm only considered normal for the contribution of feature selection, to the neglect of the characteristics of the distribution of feature selection have contributed to the lack of normal SVM algorithm based on the analysis, based on the characteristics of the positive and negative cases emergence of a different probability-weighted normal SVM algorithm, which takes into account the distribution and characteristics of normal. through the test can be seen in the use of smaller feature space, the normal and the SVM algorithm and information gain algorithm, normal weighted SVM algorithm has better performance of feature selection.
Update : 2025-02-17 Size : 4kb Publisher : 苏苏
[AI-NN-PR] Boosting-beta2 DL : 0: AdaBoost is an efficient tool in machine learning. It can combine a series of weak learners into a strong learner. Besides pattern classification, it also can be applied into feature selection. This document explains the use of AdaBoost.
Update : 2025-02-17 Size : 1.1mb Publisher : njustyw
[Graph program] AdaptiveFeatureSelectionforHyperspectralDataAnalys DL : 0: 高光谱数据分析中的自适应特征提取算法adaptive feature selection-Hyperspectral data analysis adaptive feature extraction algorithm adaptive feature selection
Update : 2025-02-17 Size : 71kb Publisher : john
[Industry research] Gradient_Feature_Selection_for_Online_Boosting DL : 0: 关于on-line boosting的gradient feature selection的介绍-With regard to on-line boosting the introduction of gradient feature selection
Update : 2025-02-17 Size : 840kb Publisher : gujiazation
[AI-NN-PR] tezhengxuanzhe DL : 0: 利用最小互信息实现向量的特征选择，优化分类器的设计，原创-The use of mutual information to achieve the smallest feature selection vectors, optimizing the classifier design, originality
Update : 2025-02-17 Size : 1kb Publisher : 王将
[Software Engineering] CAGA_O_F DL : 0: 关于链式智能体遗传算法用于数值优化和特征选择的论文，可以与我联系相互交流-On the chain-agent genetic algorithm for numerical optimization and feature selection of the papers, you can contact me exchange
Update : 2025-02-17 Size : 1.02mb Publisher : 李明
[Windows Develop] Bolasso-feature-selection-prediction DL : 0: 这个程序实现了Francis R. Bach的Bolasso算法，用于特征选取和预测。主要用于高纬度问题的特征选取，它使用了带有Bootstrap方法的自助抽样的正则化回归，并使用了Karl Skoglund的lars实现。-This procedure achieved Francis R. Bach s Bolasso algorithms for feature selection and forecasting. The main problem for high-latitude feature selection, it uses a method of self-help Bootstrap sampling Tikhonov reunification, and Karl Skoglund used to achieve the lars.
Update : 2025-02-17 Size : 194kb Publisher : xuechaoling
[matlab] Collaborativefuzzyclusteringmodel DL : 1: 协同模糊聚类建模通过特征选择和协同模糊聚类的模糊建模方法构建T-S模型，并用此模型对数据进行测试。-Collaborative fuzzy clustering modeling and collaboration through the feature selection fuzzy clustering TS fuzzy modeling method to build models and use this model of data for testing.
Update : 2025-02-17 Size : 3kb Publisher : zhangwenming
[matlab] featureselection DL : 1: 基因算法实现的特征提取，实现平台是matlab-feature selection with genetic algorithm
Update : 2025-02-17 Size : 7kb Publisher : allcy
[matlab] Verver_FS_Version_5.1.6 DL : 0: Feature Selection using matlab
Update : 2025-02-17 Size : 2.35mb Publisher : ali
[Editor] IEEEXplore-4.pdf DL : 0: Mutual Information Feature Selection
Update : 2025-02-17 Size : 344kb Publisher : will
[Windows Develop] 2005S9568 DL : 0: feature selection from iris data set it will use statistical methods and get the best set of features then use graphs to classify the data-feature selection from iris data set it will use statistical methods and get the best set of features then use graphs to classify the data
Update : 2025-02-17 Size : 28kb Publisher : madurangak
[AI-NN-PR] Feature Selection matlab toolbox DL : 0: It's a Matlab toolbox designed by ASU. It is easy to use and you can use it to achieve the feature selection, classify and so on.
Update : 2025-02-17 Size : 8.5mb Publisher : liang911

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