1.need SVM-KM toolbox, so first add all SVM-KM toolbox folders in matlab file path
2.need to rebuild some functions in different OS, use mex in matlab to rebuild files: mex vectorize.c , mex devectorize.c
3.example files:
exmklclass.m
exmklmulticlass.m
...
windows64位系统可运行simplemkl的matlab代码，内含说明
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2023-12-01
11:08:12
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windows64位matlab中simplemkl.rar （56个子文件） 
windows64位matlab中simplemkl 
UnitTraceNormalization.m 1003B costsvmreg.m 461B mklsvmls.m 10KB costsvmclassls.m 1KB sumKbeta.m 625B mklkernel.m 726B CreateKernelListWithVariable.m 877B svmkernel.m 5KB devectorize.dll 6KB exmklvariationC.m 3KB mklsvmregSILP.m 3KB devectorize_single.mexglx 7KB gradsvmclass.m 568B exmklclass.m 4KB devectorize.mexglx 7KB WeightK.m 1KB mklsvmclassSILP.m 7KB costsvmclass.m 547B exmkllsdisk.m 4KB vectorize.mexglx 6KB gradsvmclassls.m 2KB vectorize.mexw64 7KB costsvmoneagainstall.m 546B devectorize.mexw64 7KB vectorize_single.c 413B costsvmoneagainstone.m 538B svmclasslsformkl.m 9KB vectorize.c 398B mklsvm.m 11KB gradsvmoneagainstall.m 631B vectorize_single.dll 6KB exmklreg.m 2KB normalizemeanstd.m 769B svmval.m 5KB gradsvmreg.m 496B vectorize.dll 6KB exmklmulticlassrealdata.m 2KB mklmulticlass.m 10KB build_efficientK.m 619B svmclass.m 3KB vectorize_single.mexglx 6KB mklsvmlsupdate.m 5KB CreateDataAppTest.m 2KB monqp.m 11KB mklbuildkernel.m 1KB VectorizeCofSVM.m 647B gradsvmoneagainstone.m 631B devectorize.c 457B devectorize_single.dll 6KB mklmulticlassupdate.m 5KB ionosphere.mat 91KB exmklmulticlass.m 3KB devectorize_single.c 472B sumKbetals.m 2KB
readme.txt 271B mklsvmupdate.m 6KB资源评论
