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 fr a mework. In current version, the graph Laplacian serves as the regularizer, and unlabeled data can also be exploited to improve the performance.
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下载文件列表
RSE\compute_weight.m
...\demo_rse.m
...\evaluate_rse.m
...\evaluate_rse_ss.m
...\get_error_rate.m
...\Java
...\....\RgStEb
...\....\......\classes
...\....\......\.......\package cache
...\....\......\.......\.............\RgStEb.Base.dep2
...\....\......\.......\RgStEb
...\....\......\.......\......\Base
...\....\......\.......\......\....\BinaryRSE.class
...\....\......\.......\......\....\SemiBinaryRSE.class
...\....\......\src
...\....\......\...\RgStEb
...\....\......\...\......\Base
...\....\......\...\......\....\BinaryRSE.java
...\....\......\...\......\....\SemiBinaryRSE.java
...\LaplacianMatrix.m
RSE
ReadMe.htm
...\demo_rse.m
...\evaluate_rse.m
...\evaluate_rse_ss.m
...\get_error_rate.m
...\Java
...\....\RgStEb
...\....\......\classes
...\....\......\.......\package cache
...\....\......\.......\.............\RgStEb.Base.dep2
...\....\......\.......\RgStEb
...\....\......\.......\......\Base
...\....\......\.......\......\....\BinaryRSE.class
...\....\......\.......\......\....\SemiBinaryRSE.class
...\....\......\src
...\....\......\...\RgStEb
...\....\......\...\......\Base
...\....\......\...\......\....\BinaryRSE.java
...\....\......\...\......\....\SemiBinaryRSE.java
...\LaplacianMatrix.m
RSE
ReadMe.htm