代码搜索：parameter
找到约 10,000 项符合「parameter」的源代码
代码结果 10,000
www.eeworm.com/read/493516/6394956
h simplewindow.h
//**************************************************************************
//
// Copyright (c) 1997.
// Richard D. Irwin, Inc.
//
// This software may not be distributed further without permiss
www.eeworm.com/read/493516/6394960
bak dstring.bak
//**************************************************************************
//
// Copyright (c) 1997.
// Richard D. Irwin, Inc.
//
// This software may not be distributed further without permiss
www.eeworm.com/read/493516/6394964
h alert.h
//**************************************************************************
//
// Copyright (c) 1997.
// Richard D. Irwin, Inc.
//
// This software may not be distributed further without permiss
www.eeworm.com/read/493516/6394965
bak windowmanager.bak
//**************************************************************************
//
// Copyright (c) 1997.
// Richard D. Irwin, Inc.
//
// This software may not be distributed further without permiss
www.eeworm.com/read/493516/6394973
bak graphic.bak
//**************************************************************************
//
// Copyright (c) 1997.
// Richard D. Irwin, Inc.
//
// This software may not be distributed further without permiss
www.eeworm.com/read/493294/6400005
m parzenc.m
%PARZENC Optimisation of the Parzen classifier
%
% [W,H] = PARZENC(A)
% W = PARZENC(A,H,FID)
%
% INPUT
% A dataset
% H smoothing parameter (may be scalar, vector of per-class
% param
www.eeworm.com/read/493294/6400013
m svo_nu.m
%SVO_NU Support Vector Optimizer: NU algorithm
%
% [V,J,C] = SVO(K,NLAB,NU,PD)
%
% INPUT
% K Similarity matrix
% NLAB Label list consisting of -1/+1
% NU Regularization parameter (0 <
www.eeworm.com/read/493294/6400549
m optim_auc.m
function [w,optval] = optim_auc(x,wname,fracrej,range,nrbags,varargin)
%OPTIM_AUC Optimize hyperparameters for an OCC
%
% W = OPTIM_AUC(X,WNAME,FRACREJ,RANGE,NRBAGS,VARARGIN)
%
% Optimize the AUC-p
www.eeworm.com/read/492905/6413746
readme
SVDPACKC (Version 1.0)
/*************************************************************************
(c) Copyright 1993
Univers
www.eeworm.com/read/492929/6414171
m ols_gv.m
function results = ols_gv(y,x,ndraw,nomit,prior)
% PURPOSE: MCMC estimates for the Bayesian heteroscedastic linear model
% y = X B + e, p(e_i) = f_t(e_i | 0, v_i, lambda)
% p(V) =