代码搜索:classification

找到约 3,679 项符合「classification」的源代码

代码结果 3,679
www.eeworm.com/read/353769/10418548

c mcnemar.c

/************************************************************************ * * * Program package 'lvq_pak':
www.eeworm.com/read/278889/10490719

m deltablssvm.m

function model = deltablssvm(model,a1,a2) % Bias term correction for the LS-SVM classifier % % >> model = deltablssvm(model, b_new) % % This function is only useful in the object oriented function %
www.eeworm.com/read/421949/10676254

m deltablssvm.m

function model = deltablssvm(model,a1,a2) % Bias term correction for the LS-SVM classifier % % >> model = deltablssvm(model, b_new) % % This function is only useful in the object oriented function %
www.eeworm.com/read/399996/7816860

m show_algorithms.m

function show_algorithms (type, show_details) % Specify possible classification algorithms and their details % % Inputs: % type - Can be either classification, preprocessing, or fea
www.eeworm.com/read/397142/8064890

txt libsvm-guide.txt

A demonstration in using LIBSVM for SVM classification ------------------------------------------------------ This text serves as a step-by-step guide for using LIBSVM for SVM classification by a
www.eeworm.com/read/397122/8065904

m deltablssvm.m

function model = deltablssvm(model,a1,a2) % Bias term correction for the LS-SVM classifier % % >> model = deltablssvm(model, b_new) % % This function is only useful in the object oriented function %
www.eeworm.com/read/397099/8068891

m show_algorithms.m

function show_algorithms (type, show_details) % Specify possible classification algorithms and their details % % Inputs: % type - Can be either classification, preprocessing, or fea
www.eeworm.com/read/245941/12770966

m show_algorithms.m

function show_algorithms (type, show_details) % Specify possible classification algorithms and their details % % Inputs: % type - Can be either classification, preprocessing, or fea
www.eeworm.com/read/143954/12827666

txt output.txt

0.97439 1.43164 1.52502 0.54611 0.61940 1.38638 0.90610 1.23461 1.74718 1.81119 1.46809 1.18708 1.78136 1.77982 0.43467 0.00448 1.71289 0.67552 0.92710 1.01877 1.08768 0.08508 1.
www.eeworm.com/read/331336/12832634

m deltablssvm.m

function model = deltablssvm(model,a1,a2) % Bias term correction for the LS-SVM classifier % % >> model = deltablssvm(model, b_new) % % This function is only useful in the object oriented function %