代码搜索：self
找到约 10,000 项符合「self」的源代码
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www.eeworm.com/read/136786/5866844
h ircomm_ttp.h
/*********************************************************************
*
* Filename: ircomm_ttp.h
* Version:
* Description:
* Status: Experimental.
* Author
www.eeworm.com/read/136786/5867032
c irnet_irda.c
/*
* IrNET protocol module : Synchronous PPP over an IrDA socket.
*
* Jean II - HPL `00 -
*
* This file implement the IRDA interface of IrNET.
* Basically, we sit on top of IrTT
www.eeworm.com/read/134009/5895886
pm win32.pm
package File::Spec::Win32;
use strict;
use Cwd;
use vars qw(@ISA $VERSION);
require File::Spec::Unix;
$VERSION = '1.2';
@ISA = qw(File::Spec::Unix);
=head1 NAME
File::Spec::Win32 - methods for Wi
www.eeworm.com/read/134009/5895889
pm vms.pm
package File::Spec::VMS;
use strict;
use vars qw(@ISA $VERSION);
require File::Spec::Unix;
$VERSION = '1.1';
@ISA = qw(File::Spec::Unix);
use Cwd;
use File::Basename;
use VMS::Filespec;
=head1 NA
www.eeworm.com/read/134009/5895979
pl mint.pl
$self->{CCFLAGS} = $Config{ccflags} . ' -DNO_LOCALECONV_GROUPING -DNO_LOCALECONV_MON_GROUPING';
www.eeworm.com/read/133943/5897434
m tabular_kernel.m
function K = tabular_kernel(fg, self)
% TABULAR_KERNEL Make a table-based local kernel (discrete potential)
% K = tabular_kernel(fg, self)
%
% fg is a factor graph
% self is the number of a representa
www.eeworm.com/read/133943/5897487
m log_prob_node.m
function L = log_prob_node(CPD, self_ev, pev)
% LOG_PROB_NODE Compute prod_m log P(x(i,m)| x(pi_i,m), theta_i) for node i (gaussian)
% L = log_prob_node(CPD, self_ev, pev)
%
% self_ev(m) is the eviden
www.eeworm.com/read/133943/5897542
m gmux_cpd.m
function CPD = gmux_CPD(bnet, self, varargin)
% GMUX_CPD Make a Gaussian multiplexer node
%
% CPD = gmux_CPD(bnet, node, ...) is used similarly to gaussian_CPD,
% except we assume there is exactly one
www.eeworm.com/read/133943/5897556
m mlp_cpd.m
function CPD = mlp_CPD(bnet, self, nhidden, w1, b1, w2, b2, clamped, max_iter, verbose, wthresh, llthresh)
% MLP_CPD Make a CPD from a Multi Layer Perceptron (i.e., feedforward neural network)
%
%
www.eeworm.com/read/133943/5897567
m softmax_cpd.m
function CPD = softmax_CPD(bnet, self, varargin)
% SOFTMAX_CPD Make a softmax (multinomial logit) CPD
%
% To define this CPD precisely, let W be an (m x n) matrix with W(i,:) = {i-th row of B}
% => w