代码搜索：parameter
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www.eeworm.com/read/401483/11557021
lst 中断0.lst
C51 COMPILER V7.06 謃__0 07/28/2008 10:22:34 PAGE 1
C51 COMPILER V7.06, COMPILATION OF MODULE 謃__0
OBJECT MODULE PLACED IN 中断0
www.eeworm.com/read/401180/11563140
m svmlopt.m
function options = svmlopt(varargin)
% SVMLOPT - Generate/alter options structure for SVM light
%
% OPTIONS = SVMLOPT('PARAM1',VALUE1,'PARAM2',VALUE2,...) creates an
% optimization options struct
www.eeworm.com/read/400627/11571460
txt revision info.txt
Revision Information:
Note: This applies only when C functions are used to call the ASM library.
Due to a change in C calling conventions by IAR the USI I2C library has been modified and two seperat
www.eeworm.com/read/400584/11572424
m differentialevolution.m
function varargout = differentialevolution(DEParams, paramDefCell, ...
objFctHandle, objFctSettings, objFctParams, emailParams, optimInfo)
%DIFFERENTIALEVOLUTION Start Differential Evolution optim
www.eeworm.com/read/400584/11572429
html differentialevolution.html
differentialevolution
DIFFERENTIAL EVOLUTION
Preamble
I have put a lot o
www.eeworm.com/read/400577/11572702
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/400577/11573021
m ldc.m
%LDC Linear Bayes Normal Classifier (BayesNormal_1)
%
% [W.R,S,M] = LDC(A,R,S,M)
% W = A*LDC([],R,S,M);
%
% INPUT
% A Dataset
% R,S Regularization parameters, 0
www.eeworm.com/read/400576/11573591
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/348290/11602752
m crtrp.m
% CRTRP.M (CReaTe an initial (Real-value) Population)
%
% This function creates a population of given size of random real-values.
%
% Syntax: Chrom = crtrp(Nind,FieldDR);
%
% Input param