代码搜索：svc
找到约 5,868 项符合「svc」的源代码
代码结果 5,868
www.eeworm.com/read/397761/8023057
m svc.m
function net = svc(arg, sv, w, bias)
%
if nargin == 0
% this is the default constructor
net.kernel = linear;
net.sv = [];
net.w = [];
net.bias = 0;
www.eeworm.com/read/397102/8068009
m svc.m
%SVC Support Vector Classifier
%
% [W,J] = svc(A,type,par,C)
%
% Optimizes a support vector classifier for the dataset A by
% quadratic programming. The classifier can be of one of the types
% as
www.eeworm.com/read/245176/12813154
m svc.m
function net = svc(arg, sv, w, bias)
% SVC
%
% Construct a support vector classification (SVC) network object.
%
% Examples:
%
% % default constructor (linear, hardmargin SVC with no suppo
www.eeworm.com/read/143745/12847743
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
www.eeworm.com/read/143441/12874910
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
www.eeworm.com/read/329420/12955646
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
www.eeworm.com/read/140850/13059486
m svc.m
function net = svc(arg, sv, w, bias)
% SVC
%
% Construct a support vector classification (SVC) network object.
%
% Examples:
%
% % default constructor (linear, hardmargin SVC with no suppo
www.eeworm.com/read/138755/13217723
mdl svc.mdl
Model {
Name "svc"
Version 5.0
SaveDefaultBlockParams on
SampleTimeColors off
LibraryLinkDisplay "none"
WideLines off
ShowLineDimensions off
ShowPortDataTypes
www.eeworm.com/read/324304/13273554
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
www.eeworm.com/read/137160/13341885
m svc.m
%SVC Support Vector Classifier
%
% [W,J] = SVC(A,TYPE,PAR,C)
%
% INPUT
% A Dataset
% TYPE Type of the kernel (optional; default: 'p')
% PAR Kernel parameter (optional; default: 1)
% C