代码搜索:automatic

找到约 5,059 项符合「automatic」的源代码

代码结果 5,059
www.eeworm.com/read/172172/9722099

m afe.m

function [features,eigvec,eigvals] = AFE(Xs,kernel, kernel_pars,X,type,nb,eigvec,eigvals) % Automatic Feature Extraction by Nystr鰉 method % % % >> features = AFE(X, kernel, sig2, Xt) % % Description %
www.eeworm.com/read/367440/9748457

m afe.m

function [features,eigvec,eigvals] = AFE(Xs,kernel, kernel_pars,X,type,nb,eigvec,eigvals) % Automatic Feature Extraction by Nystr鰉 method % % % >> features = AFE(X, kernel, sig2, Xt) % % Description %
www.eeworm.com/read/414617/11107797

dpj test.dpj

ADSP-
www.eeworm.com/read/235612/14060050

m sectaec.m

function sect = sectaec(sect,t,op_length,trip) % sectout = sectaec(sectin,t,op_length,trip) % % SECTAEC runs automatic gain correction on a seismic matrix. % % sectin ... input section of size nsamp
www.eeworm.com/read/113666/15451593

am makefile.am

## Process this file with automake to produce Makefile.in. -*-Makefile-*- # $Id: Makefile.am,v 1.9.2.1 2003/05/31 06:10:43 jm Exp $ # Disable automatic dependency tracking if using other tools than
www.eeworm.com/read/189219/8484095

c vfork1.c

#include #include "ourhdr.h" int glob = 6; /* external variable in initialized data */ int main(void) { int var; /* automatic variable on the stack */ pid_t pid; var = 88; pri
www.eeworm.com/read/429611/8799036

c dialer.c

/* Automatic line dialer for asynch ports running SLIP, PPP, etc. * * Copyright 1991 Phil Karn, KA9Q * * Mar '91 Bill Simpson & Glenn McGregor * completely re-written; * human readable c
www.eeworm.com/read/428451/8867354

m bay_lssvmard.m

function [inputs,ordered,costs,sig2n,model] = bay_lssvmARD(model,type,btype,nb); % Bayesian Automatic Relevance Determination of the inputs of an LS-SVM % % % >> dimensions = bay_lssvmARD({X,Y,type,
www.eeworm.com/read/428179/8885163

dpj 1.dpj

ADSP-21161
www.eeworm.com/read/427586/8932237

m bay_lssvmard.m

function [inputs,ordered,costs,sig2n,model] = bay_lssvmARD(model,type,btype,nb); % Bayesian Automatic Relevance Determination of the inputs of an LS-SVM % % % >> dimensions = bay_lssvmARD({X,Y,type,