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[matlabCSNN

Description: This package contains 6 algorithms for training cost-sensitive neural networks. They are over-sampling, under-sampling, threshold-moving, SMOTE and two ensemble methods, i.e. hard-ensemble and soft-ensemble.
Platform: | Size: 37214 | Author: clatter | Hits:

[Special EffectsSVM_Finger

Description: 指纹图像的质量测量与评价,在指纹图像分割、增强及指纹匹配等环节都有重要应用. 同时,指纹图像的质量分类,对指纹识别算法的适用性研究也有重要意义. 本文提出一种基于支持向量机的指纹图像质量分类方法.该方法选择梯度、Gabor特征、方向对比度等指标,利用支持向量机有效实现指纹图像质量分类. 并采用少类样本合成过采样技术( SMOTE)降低指纹图像质量好坏的类别不平衡问题对分类的影响. 理论分析和实验结果都表明该方法能够较为有效地提高指纹图像质量分类的正确率.-Fingerprint Image Quality Measurement and evaluation, in the fingerprint image segmentation, enhancement and fingerprint matching has important applications such links. Meanwhile, the quality of fingerprint image classification, on the applicability of fingerprint recognition algorithm is also important. In this paper, based on support vector machine classification of fingerprint image quality. The method chosen gradient, Gabor features, such as indicators of the direction of contrast, the effective use of support vector machine classification of fingerprint image quality. and use a small sample of synthetic over-sampling technique class (SMOTE) lower quality fingerprint image the type of imbalance bad influence on the classification. Theoretical analysis and experimental results show that the method can be used effectively to improve the quality of fingerprint image classification accuracy.
Platform: | Size: 564224 | Author: 郭事业 | Hits:

[matlabCSNN

Description: 这个包包含6个代价敏感神经网络训练算法。-This package contains 6 algorithms for training cost-sensitive neural networks. They are over-sampling, under-sampling, threshold-moving, SMOTE and two ensemble methods, i.e. hard-ensemble and soft-ensemble.
Platform: | Size: 36864 | Author: clatter | Hits:

[Mathimatics-Numerical algorithmsSMOTE

Description: matlab的smote算法,可以用于分类时样本数据不平衡的问题-matlab smote algorithm, can be used to sample data classification problem of unbalanced
Platform: | Size: 21504 | Author: 张翔 | Hits:

[AI-NN-PRSMOTEBoost

Description: 分类非平衡数据的SMOTEboost算法-This code implements SMOTEBoost. SMOTEBoost is an algorithm to handle class imbalance problem in data with discrete class labels. It uses a combination of SMOTE and the standard boosting procedure AdaBoost to better model the minority class by providing the learner not only with the minority class examples that were misclassified in the previous boosting iteration but also with broader representation of those instances (achieved by SMOTE). Since boosting algorithms give equal weight to all misclassified examples and sample from a pool of data that predominantly consists of majority class, subsequent sampling of the training set is still skewed towards the majority class. Thus, to reduce the bias inherent in the learning procedure due to class imbalance and to increase the sampling weights of minority class, SMOTE is introduced at each round of boosting. Introduction of SMOTE increases the number of minority class samples for the learner and focus on these cases
Platform: | Size: 5634048 | Author: 贾建华 | Hits:

[OtherCSNN

Description: 基于随机欠取样、过取样、SMOTE的代价敏感算法。-Owed based on random sampling, over-sampling, the SMOTE cost-sensitive algorithm.
Platform: | Size: 24576 | Author: 黎涛 | Hits:

[AI-NN-PRpattern-recogniton

Description: 对类别不平衡的分类问题的几种算法实现,包括PNN,smote,BP-AdaBoost-Several algorithms for class imbalance classification problem ,including PNN, smote and BP-AdaBoost
Platform: | Size: 583680 | Author: 王庆新 | Hits:

[OtherADASYN_upd2

Description: Modfied version of SMOTE
Platform: | Size: 7168 | Author: Ruqayyya | Hits:

[matlabSMOTE

Description: SMOTE algorithm code
Platform: | Size: 1024 | Author: amir | Hits:

[DataMiningSMOTE

Description: 本工具为不平衡数据分类领域重要的过采样算法SMOTE.-This tool is an important field of unbalanced data classification oversampling algorithm SMOTE.
Platform: | Size: 21504 | Author: | Hits:

[Special EffectsSMOTE

Description: The SMOTE function takes the feature vectors with dimension(r,n) and the target class with dimension(r,1) as the input. And returns final_features vectors with dimension(r ,n) and the target class with dimension(r ,1) as the output.
Platform: | Size: 6144 | Author: 柳朝永 | Hits:

[Othersmote

Description: 随着数据的大量出现,非平衡问题显得尤为突出,该算法能很好的解决非平衡分类问题(imbanlanced classification)
Platform: | Size: 6144 | Author: 陶院新生 | Hits:

[AlgorithmSMOTE

Description: Python语言实现针对不平衡分类的SMOTE升采样算法,并通过SVM实现分类(We implements the SMOTE over-sampling algorithm via Python language for unbalanced classification, and achieves the classification of Glass data through SVM algorithm.)
Platform: | Size: 8192 | Author: shengkai | Hits:

[Other1-data processing.R

Description: 数据预处理,对于分类前的文件进行预处理。查看数据的类型。进行smote(data pre-processing.For pre-classification documents pretreatment. Check the type of data. and using smote to Solve the problem of data imbalance)
Platform: | Size: 1024 | Author: wuha | Hits:

[OtherSMOTE

Description: smote算法,在matlab下的实现,以function的形式,可直接调用(The smote algorithm, implemented under Matlab, can be called directly in the form of function)
Platform: | Size: 36864 | Author: 防不胜防 | Hits:

[matlabSMOTE

Description: SMOTE过采样算法的matlab代码,,,(SMOTE algorithm on matlab platform)
Platform: | Size: 4096 | Author: Rainaaa | Hits:

[DataMiningSMOTE

Description: 针对非平衡数据集中少数类数据过少的问题进行过采样,SMOTE算法采用人工合成稀有类的方法将非平衡数据变为平衡数据之后在用于数据挖掘(Over sampling techniques for minority data)
Platform: | Size: 1024 | Author: david139 | Hits:

[matlabRandom_Forest

Description: 内涵PCA降维;SMOTE插值;t-SNE降维等算法的随机森林算法,以及鸢尾花数据集,有利于新手或者工程性实验借鉴~(Connotative PCA dimensionality reduction; SMOTE interpolation; t-SNE dimensionality reduction algorithms such as random forest algorithm, as well as iris data sets, is conducive to novice or engineering experiment reference ~)
Platform: | Size: 885760 | Author: SaoYear | Hits:

[DataMiningMATLAB_SMOTE

Description: SMOTE插值算法,补全数据的不平衡性。(SMOTE interpolation algorithm to complete the imbalance of data.)
Platform: | Size: 1024 | Author: SaoYear | Hits:

[Algorithmsmote

Description: smote过采样方法对不平衡数据集进行人工数据合成(smote oversampling and classification)
Platform: | Size: 4096 | Author: 小懒懒 | Hits:
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