代码搜索：Contribution
找到约 1,032 项符合「Contribution」的源代码
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www.eeworm.com/read/262629/11397617
txt thanksnote.txt
I would like to thank the following people for their suggestions, feedback and contribution:
- Alan Griver
- Matthew Arnheiter
- Rick Hodder
- Drew G.
- Jenny Brown
- Jayesh Patel
- Lior Hod
www.eeworm.com/read/205449/15315963
m bss_decomp_filt.m
function varargout=bss_decomp_filt(varargin)
% decompose an estimated source into target/interference/noise/artefacts components, assuming the admissible distortion is a pure time-invariant filter.
%
www.eeworm.com/read/205449/15315967
m bss_decomp_gain.m
function varargout=bss_decomp_gain(varargin)
% decompose an estimated source into target/interference/noise/artefacts components, assuming the admissible distortion is a pure time-invariant gain.
%
%
www.eeworm.com/read/449504/7502184
m multilogit_lik.m
function [P,lnL] = multilogit_lik(y,x,beta,d);
% PURPOSE: Computes value of log likelihood function for multinomial logit regression
% written by:
% Simon D. Woodcock
% CISER / Economics
% Corn
www.eeworm.com/read/440842/7680313
m multilogit_lik.m
function [P,lnL] = multilogit_lik(y,x,beta,d);
% PURPOSE: Computes value of log likelihood function for multinomial logit regression
% written by:
% Simon D. Woodcock
% CISER / Economics
% Corn
www.eeworm.com/read/140727/5781572
cc hmm_09.cc
// file: $isip/class/pr/HiddenMarkovModel/hmm_09.cc
// version: $Id: hmm_09.cc,v 1.1 2003/01/11 15:20:59 jelinek Exp $
//
// isip include files
//
#include "HiddenMarkovModel.h"
// method: adaptPart
www.eeworm.com/read/492929/6414228
m multilogit_lik.m
function [P,lnL] = multilogit_lik(y,x,beta,d);
% PURPOSE: Computes value of log likelihood function for multinomial logit regression
% written by:
% Simon D. Woodcock
% CISER / Economics
% Corn
www.eeworm.com/read/377407/9277744
h weight_update.h
/*
* $Id: weight_update.h 1272 2007-05-09 16:26:20Z mhe $
*/
extern int cell_mod, in_mod_b, ges_mod, num_blocks, block_size[];
extern int in_mod;
extern int negativetrain, positivetrain, ispos;
e
www.eeworm.com/read/217251/14972841
m fem2dt2.m
clear all;
clc;
n = 4;
h = 1./ n;
nsq = n*n;
A = zeros(nsq,nsq);
B = zeros(nsq,1);
for j=1:1:n % Outer loop over y
yj_1 = (j-1)*h;
yj = j*h;
www.eeworm.com/read/450949/7474318