文件名称:RSE-v1
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RSE (Regularized Selective Ensemble) is a selective ensemble learning algorithm for binay classification, which constructs ensemble under the regularization framework. In current version, the graph Laplacian serves as the regularizer, and unlabeled data can also be exploited to improve the performance.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
RSE/compute_weight.m
RSE/demo_rse.m
RSE/evaluate_rse.m
RSE/evaluate_rse_ss.m
RSE/get_error_rate.m
RSE/Java/
RSE/Java/RgStEb/
RSE/Java/RgStEb/classes/
RSE/Java/RgStEb/classes/package cache/
RSE/Java/RgStEb/classes/package cache/RgStEb.Base.dep2
RSE/Java/RgStEb/classes/RgStEb/
RSE/Java/RgStEb/classes/RgStEb/Base/
RSE/Java/RgStEb/classes/RgStEb/Base/BinaryRSE.class
RSE/Java/RgStEb/classes/RgStEb/Base/SemiBinaryRSE.class
RSE/Java/RgStEb/src/
RSE/Java/RgStEb/src/RgStEb/
RSE/Java/RgStEb/src/RgStEb/Base/
RSE/Java/RgStEb/src/RgStEb/Base/BinaryRSE.java
RSE/Java/RgStEb/src/RgStEb/Base/SemiBinaryRSE.java
RSE/LaplacianMatrix.m
RSE/
ReadMe.htm
RSE/demo_rse.m
RSE/evaluate_rse.m
RSE/evaluate_rse_ss.m
RSE/get_error_rate.m
RSE/Java/
RSE/Java/RgStEb/
RSE/Java/RgStEb/classes/
RSE/Java/RgStEb/classes/package cache/
RSE/Java/RgStEb/classes/package cache/RgStEb.Base.dep2
RSE/Java/RgStEb/classes/RgStEb/
RSE/Java/RgStEb/classes/RgStEb/Base/
RSE/Java/RgStEb/classes/RgStEb/Base/BinaryRSE.class
RSE/Java/RgStEb/classes/RgStEb/Base/SemiBinaryRSE.class
RSE/Java/RgStEb/src/
RSE/Java/RgStEb/src/RgStEb/
RSE/Java/RgStEb/src/RgStEb/Base/
RSE/Java/RgStEb/src/RgStEb/Base/BinaryRSE.java
RSE/Java/RgStEb/src/RgStEb/Base/SemiBinaryRSE.java
RSE/LaplacianMatrix.m
RSE/
ReadMe.htm
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