代码搜索：Fitting
找到约 695 项符合「Fitting」的源代码
代码结果 695
www.eeworm.com/read/175689/5343417
m demo_svmpout.m
% DEMO_SVMPOUT Fitting a posteriory probability to SVM output.
%
% A posteriory probability p(y==1|f(x)) of the first class
% given SVM output f(x) is assumed to be sigmoid function.
% Parameters A(1
www.eeworm.com/read/428780/1954091
m demo_svmpout.m
% DEMO_SVMPOUT Fitting a posteriory probability to SVM output.
%
% A posteriory probability p(y==1|f(x)) of the first class
% given SVM output f(x) is assumed to be sigmoid function.
% Parameters A(1
www.eeworm.com/read/366702/2862258
c 20071212-1.c
/* This used to fail due to bug in the On constraint causing a slgfi
to be emitted with an immediate not fitting into 32bit. */
/* { dg-do compile } */
/* { dg-options "-O3 -march=z9-109" } */
l
www.eeworm.com/read/392270/8353563
bas nihe.bas
Attribute VB_Name = "Fitting"
Option Explicit
Sub LineNiHe(x() As Double, y() As Double, a As Double, b As Double, t As Integer)
Dim i As Integer
Dim m As Double, n As Double, c As Double, d As
www.eeworm.com/read/411674/11233910
m demo_svmpout.m
% DEMO_SVMPOUT Fitting a posteriory probability to SVM output.
%
% A posteriory probability p(y==1|f(x)) of the first class
% given SVM output f(x) is assumed to be sigmoid function.
% Parameters A(1
www.eeworm.com/read/132864/14069995
bas nihe.bas
Attribute VB_Name = "Fitting"
Option Explicit
Sub LineNiHe(x() As Double, y() As Double, a As Double, b As Double, t As Integer)
Dim i As Integer
Dim m As Double, n As Double, c As Double, d As
www.eeworm.com/read/202729/15375309
err dk3200ee.err
PSD Fitter - Logic Synthesis and Device Fitting
PSDsoft Express 8.00 Copyright (C) 1993-2003 STMicroelectronics, Inc. All Rights Reserved.
PROJECT : dk3200ee DATE : 10/13
www.eeworm.com/read/109665/15552503
psf remote_reconfiguration.psf
SYNTHESIS_FITTING_SETTINGS
{
AUTO_SHIFT_REGISTER_RECOGNITION = ON;
AUTO_DSP_RECOGNITION = ON;
AUTO_RAM_RECOGNITION = ON;
REMOVE_DUPLICATE_LOGIC = ON;
AUTO_TURBO_BIT = ON;
AUTO_MERGE_PLLS
www.eeworm.com/read/428849/8834939
m~ mlsigmoid.m~
function varargout=mlsigmoid(arg1,arg2,arg3)
% MLSIGMOID Fitting a sigmoid function using ML estimation.
%
% Synopsis:
% model = mlsigmoid(data,options)
%
% Description:
% model = mlsigmoid(data,opt
www.eeworm.com/read/428849/8834966
m mlsigmoid.m
function varargout=mlsigmoid(arg1,arg2,arg3)
% MLSIGMOID Fitting a sigmoid function using ML estimation.
%
% Synopsis:
% model = mlsigmoid(data,options)
%
% Description:
% model = mlsigmoid(data,opt