代码搜索：classification

找到约 3,679 项符合「classification」的源代码

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www.eeworm.com/read/354741/10329378

m svc.m

function [nsv, alpha, b0] = svc(X,Y,ker,C) %SVC Support Vector Classification % % Usage: [nsv alpha bias] = svc(X,Y,ker,C) % % Parameters: X - Training inputs % Y - Training t
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www.eeworm.com/read/354741/10329580

m svc.m

function [nsv, alpha, b0] = svc(X,Y,ker,C) %SVC Support Vector Classification % % Usage: [nsv alpha bias] = svc(X,Y,ker,C) % % Parameters: X - Training inputs % Y - Training t
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www.eeworm.com/read/161633/10390946

m svc.m

function [nsv, alpha, b0] = svc(X,Y,ker,C) %SVC Support Vector Classification % % Usage: [nsv alpha bias] = svc(X,Y,ker,C) % % Parameters: X - Training inputs % Y - Training t
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www.eeworm.com/read/353714/10428056

m svc.m

function [nsv, alpha, b0] = svc(X,Y,ker,C) %SVC Support Vector Classification % % Usage: [nsv alpha bias] = svc(X,Y,ker,C) % % Parameters: X - Training inputs % Y - Training t
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www.eeworm.com/read/351797/10609918

m svc.m

function [nsv, alpha, b0] = svc(X,Y,ker,C) %SVC Support Vector Classification % % Usage: [nsv alpha bias] = svc(X,Y,ker,C) % % Parameters: X - Training inputs % Y - Training t
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www.eeworm.com/read/421949/10675880

m svc.m

function [nsv, alpha, b0] = svc(X,Y,ker,C) %SVC Support Vector Classification % % Usage: [nsv alpha bias] = svc(X,Y,ker,C) % % Parameters: X - Training inputs % Y - Training t
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www.eeworm.com/read/351010/10688225

m nnd10lc.m

function nnd10lc(cmd,arg1,arg2,arg3) %NND10LC Linear pattern classification demonstration. % First Version, 8-31-95. %================================================================== % CON
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www.eeworm.com/read/158963/10707362

m nnd10lc.m

function nnd10lc(cmd,arg1,arg2,arg3) %NND10LC Linear pattern classification demonstration. % First Version, 8-31-95. %================================================================== % CON
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www.eeworm.com/read/274975/10841829

m nnd10lc.m

function nnd10lc(cmd,arg1,arg2,arg3) %NND10LC Linear pattern classification demonstration. % First Version, 8-31-95. %================================================================== % CON
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www.eeworm.com/read/418459/10944612

m svc.m

function [nsv, alpha, b0] = svc(X,Y,ker,C) %SVC Support Vector Classification % % Usage: [nsv alpha bias] = svc(X,Y,ker,C) % % Parameters: X - Training inputs % Y - Training t
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