代码搜索：classification

找到约 3,679 项符合「classification」的源代码

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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/377948/9256262

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/372487/9508394

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/363416/9952395

asv svc.asv

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/363416/9952397

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/363114/9967102

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/362002/10024301

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/361257/10062653

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/357670/10203263

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/280576/10313020

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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