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/299984/7140002
m svc.m
%SVC Support Vector Classifier
%
% [W,J] = SVC(A,KERNEL,C)
% [W,J] = SVC(A,TYPE,PAR,C)
% W = A*SVC([],KERNEL,C)
% W = A*SVC([],TYPE,PAR,C)
%
% INPUT
% A Dataset
% KERNEL - Un
www.eeworm.com/read/460435/7250477
m svc.m
%SVC Support Vector Classifier
%
% [W,J] = SVC(A,KERNEL,C)
% [W,J] = SVC(A,TYPE,PAR,C)
% W = A*SVC([],KERNEL,C)
% W = A*SVC([],TYPE,PAR,C)
%
% INPUT
% A Dataset
% KERNEL - Un
www.eeworm.com/read/455967/7360560
asv svc.asv
function [nsv, alpha, b0,t] = svc(X,Y,ker,C)
%SVC Support Vector Classification
%
% Usage: [nsv alpha bias] = svc(X,Y,ker,C)
%
% Parameters: X - Training inputs
% Y - Training
www.eeworm.com/read/455967/7360590
m svc.m
function [nsv, alpha, b0,t] = svc(X,Y,ker,C)
%SVC Support Vector Classification
%
% Usage: [nsv alpha bias] = svc(X,Y,ker,C)
%
% Parameters: X - Training inputs
% Y - Training
www.eeworm.com/read/450608/7480120
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
www.eeworm.com/read/441245/7672683
m svc.m
%SVC Support Vector Classifier
%
% [W,J] = SVC(A,KERNEL,C)
% [W,J] = SVC(A,TYPE,PAR,C)
% W = A*SVC([],KERNEL,C)
% W = A*SVC([],TYPE,PAR,C)
%
% INPUT
% A Dataset
% KERNEL - Un
www.eeworm.com/read/438780/7727099
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/438143/7735826
c svc.c
/*
* linux/fs/lockd/svc.c
*
* This is the central lockd service.
*
* FIXME: Separate the lockd NFS server functionality from the lockd NFS
* client functionality. Oh why didn't Sun create two
www.eeworm.com/read/398324/7994108
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/398324/7994215
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