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  /frameworks/ml/bordeaux/learning/stochastic_linear_ranker/native/
common_defs.h 32 enum KernelType { LINEAR, POLY, RBF };
stochastic_linear_ranker.h 97 // RBF kernel, it implies the sigma parameter. In case of linear kernel,
140 // RBF kernel, it implies the sigma parameter. In case of linear kernel,
185 case RBF:
  /frameworks/ml/bordeaux/learning/stochastic_linear_ranker/jni/
jni_stochastic_linear_ranker.cpp 177 classifier->SetKernelType(learning_stochastic_linear::RBF);
332 case learning_stochastic_linear::RBF :
  /external/opencv/ml/src/
mlsvm.cpp 170 svm_type(CvSVM::C_SVC), kernel_type(CvSVM::RBF), degree(0),
222 calc_func = params->kernel_type == CvSVM::RBF ? &CvSVMKernel::calc_rbf :
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  /external/opencv/ml/include/
ml.h 330 double gamma; // for poly/rbf/sigmoid
489 enum { LINEAR=0, POLY=1, RBF=2, SIGMOID=3 };
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