代码搜索:sequential

找到约 1,846 项符合「sequential」的源代码

代码结果 1,846
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asv train.asv

function net = train(tutor, x, y, C, kernel, zeta, net) % TRAIN % % Train a support vector classification network, using the sequential minimal % optimisation algorithm. % % net = train(tut
www.eeworm.com/read/483114/6609767

m train.m

function net = train(tutor, x, y, C, kernel, zeta, net) % TRAIN % % Train a support vector classification network, using the sequential minimal % optimisation algorithm. % % net = train(tut
www.eeworm.com/read/259580/11779952

cpp rsequentialsearch.cpp

// recursive sequential search #include #include // has copy using namespace std; template int rSequentialSearch(T a[], int n, const T& x) {// Search the
www.eeworm.com/read/259580/11780929

cpp sequentialsearch2.cpp

// sequential search of unordered list with an extra position #include #include using namespace std; template int sequentialSearch(T a[], int n, const T& x)
www.eeworm.com/read/258739/11846010

m bookdemo.m

% PURPOSE : We address here a nonlinear non-Gaussian problem using % the standard particle filtering algorithm. % For more details refer to the introduction of our book: % Sequential Monte Carlo in P
www.eeworm.com/read/152623/12096404

cs commapi.cs

using System; using System.Data; using System.Runtime.InteropServices; namespace Serial { [StructLayout(LayoutKind.Sequential)] internal class CommTimeouts { public UInt32 ReadInterval
www.eeworm.com/read/150760/12265742

c smo_mex.c

/* -------------------------------------------------------------------- smo_mex.c: MEX-file for Sequential Minimal Optimizer. Compile: mex smo_mex.c ../kernels/kernel_fun.c Synopsis: [Alpha,b
www.eeworm.com/read/230435/14289236

cs mapi.cs

using System; using System.Runtime.InteropServices; namespace YariSoft.Utils { public class Mapi { [StructLayout( LayoutKind.Sequential, CharSet=CharSet.Ansi )] private class MapiReci
www.eeworm.com/read/128193/14311493

m train.m

function net = train(tutor, x, y, C, kernel, zeta, net) % TRAIN % % Train a support vector classification network, using the sequential minimal % optimisation algorithm. % % net = train(tut
www.eeworm.com/read/122800/14667877

c svm_smo.c

/* Copyright (C) 1999 Greg Schohn - gcs@jprc.com */ /* ********************* svm_smo.c ********************** * John Platt's Sequential Minimal Optimization algorithm * (http://www.research.micros