文件名称:ManifoldRegularization
- 所属分类:
- 人工智能/神经网络/遗传算法
- 资源属性:
- [Matlab] [源码]
- 上传时间:
- 2015-04-10
- 文件大小:
- 610kb
- 下载次数:
- 0次
- 提 供 者:
- 王*
- 相关连接:
- 无
- 下载说明:
- 别用迅雷下载,失败请重下,重下不扣分!
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流型正则化解决方案,包含一些例子,应用较为广泛。-Flow pattern regularization solution, including some examples, which has been widely applied.
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下载文件列表
ManifoldRegularization
......................\2moons.mat
......................\acc.m
......................\adjacency.m
......................\breakeven.m
......................\calckernel.m
......................\cosine.m
......................\data
......................\demo.fig
......................\demo.m
......................\EnsClassification.m
......................\euclidean.m
......................\experiment_moon.m
......................\f1.m
......................\generate_toydata.m
......................\gui_mainfcn.m
......................\l1magic
......................\.......\Data
......................\.......\....\boats.mat
......................\.......\....\camera.mat
......................\.......\....\RandomStates.mat
......................\.......\l1dantzig_example.m
......................\.......\l1decode_example.m
......................\.......\l1eq_example.m
......................\.......\l1magic_notes.pdf
......................\.......\l1qc_example.m
......................\.......\Measurements
......................\.......\............\At_f.m
......................\.......\............\At_fhp.m
......................\.......\............\A_f.m
......................\.......\............\A_fhp.m
......................\.......\............\LineMask.m
......................\.......\Optimization
......................\.......\............\cgsolve.m
......................\.......\............\cgsolve2.m
......................\.......\............\l1dantzig_pd.m
......................\.......\............\l1decode_pd.m
......................\.......\............\l1eq_pd.m
......................\.......\............\l1qc_logbarrier.m
......................\.......\............\l1qc_newton.m
......................\.......\............\tvdantzig_logbarrier.m
......................\.......\............\tvdantzig_newton.m
......................\.......\............\tveq_logbarrier.m
......................\.......\............\tveq_newton.m
......................\.......\............\tvqc_logbarrier.m
......................\.......\............\tvqc_newton.m
......................\.......\README
......................\.......\tvdantzig_example.m
......................\.......\tveq_example.m
......................\.......\tveq_phantom_example.m
......................\.......\tvqc_example.m
......................\.......\tvqc_quantization_example.m
......................\laplacian.m
......................\laprlsc.asv
......................\laprlsc.m
......................\lapsvm.m
......................\make.m
......................\makefigure_moon.m
......................\ManifoldLearn.m
......................\mexGramSVMTrain.asv
......................\mexGramSVMTrain.c
......................\mexGramSVMTrain.cpp
......................\mexGramSVMTrain.dll.old
......................\mexGramSVMTrain.mexglx
......................\mexGramSVMTrain.mexw32
......................\ml_options.m
......................\ml_test.m
......................\ml_train.m
......................\my_laprlsc.asv
......................\my_laprlsc.m
......................\plot2D.m
......................\plotclassifiers.m
......................\pre_rec_equal.m
......................\r1.m
......................\rlsc.m
......................\saveclassifier.m
......................\svm.h
......................\svm.m
......................\svmprecomputed.cpp
......................\svmprecomputed.mexw32
......................\svmprecomputed.o
......................\svmprecomputed.obj
......................\transductive_classification.m
......................\tsvm.m