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Description: Relief的C++程序，计算变量的分类权重，数据格式用0和1分别表示两个类别。
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Size: 58135 |
Author: wangli |
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Description: Relief的Matlab源程序，Relief计算分类权重。输入格式在程序中有详细说明
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Size: 709721 |
Author: wangli |
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Description: relief 特征选择matlab代码
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Size: 710235 |
Author: 459068935@qq.com |
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Description:
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Size: 5827584 |
Author: wangli |
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Description:
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Size: 709632 |
Author: wangli |
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Description:
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Size: 835584 |
Author: hamid |
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Description: C编程对图像进行浮雕处理C programming on the relief image processing-C programming on the relief image processing
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Size: 9216 |
Author: awx |
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Description: VB api编程模块浮雕编程设计代VB api programming module on behalf of relief Programming
-VB api programming module on behalf of relief Programming
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Size: 7168 |
Author: bz |
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Description:
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Size: 2048 |
Author: 何紫 |
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Description: 3d c++ samples (Relief)
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Size: 49152 |
Author: Boob Larry |
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Description: 经典特征选择程序，在特征提取完成后进行特征选择可以达到提取有用成分的目的-Feature selection procedure, after completion of the feature extraction feature selection can achieve the purpose of extracting useful components
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Size: 7168 |
Author: yangxi |
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Description: Relief Algorithm RELIEF is considered one of the most successful algorithms for
assessing the quality of features due to its simplicity and effectiveness.
It has been recently proved that RELIEF is an online algorithm
that solves a convex optimization problem with a marginbased
objective function. Starting from this mathematical interpretation,
we propose a novel feature extraction algorithm, referred
to as LFE, as a natural generalization of RELIEF. LFE collects
discriminant information through local learning, and is solved as
an eigenvalue decomposition problem with a closed-form solution.
A fast implementation is also derived. Experiments on synthetic
and real-world data are presented. The results demonstrate that
LFE performs significantly better than other feature extraction algorithms
in terms of both computational efficiency and accuracy
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Size: 409600 |
Author: ugur ayan |
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Description: 基于Relief算法的特征权重选择，有效地选择出了权重数据。-Relief algorithm based on the characteristics of the right to re-select to choose a weight data.
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Size: 709632 |
Author: your name |
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Description: relief 特征选择 机器学习 数据挖掘 特征权重-Relief feature selection machine learning data mining feature weights
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Size: 1024 |
Author: aiaiyouchou |
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Description: 本算法主要是实现了图像的浮雕效果。使其看起来有立体感-This algorithm is mainly to achieve the relief effect of the image。To make it look three-dimensional
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Size: 1640448 |
Author: 杨宗瑞 |
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Description: 对于排洪问题已给数据，对已有数据进行拟合并预测。-for flood relief problem,if giving data,it can be used to data fitting,and forecast the expectations.
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Size: 1024 |
Author: pjw |
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Description: 利用距离求解的特征选择算法，针对两类问题的Relief算法-feature selection
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Size: 1024 |
Author: ljh |
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Description: relief 特征选择算法，用来约简数据属性。图像处理等(Relief feature selection algorithm is used to reduce data attributes. Image processing, etc.)
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Size: 912384 |
Author: 自信就是我
|
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Description: matlab基于Relief算法的特征权重选择，有效地选择出了权重数据(Based on the feature weight selection of Relief algorithm, the weighting data are effectively selected)
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Size: 708608 |
Author: sunsy
|
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Description: relief特征提取算法、matlab代码、特征提取算法(Relief feature extraction algorithm, matlab code, feature extraction algorithm)
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Size: 1024 |
Author: 2164813153 |
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