代码搜索:given

找到约 10,000 项符合「given」的源代码

代码结果 10,000
www.eeworm.com/read/321483/3533993

t given.t

BEGIN { if ($ENV{PERL_CORE}) { chdir('t') if -d 't'; @INC = qw(../lib); } } use Carp; use Switch qw(Perl6 __ fallthrough); my($C,$M);sub ok{$C++;$M.=$_[0]?"ok $C\n":"not ok $
www.eeworm.com/read/464858/7061510

m given_data.m

% THIS .M file contains the physical parameters of riser and the ralative % parameters of fluid. % their names are introduced in the main programm. % v_c = 0.1; % m/s v_i = 0;
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m ex given.m

close all clear l=3;m=3; e=[0.03230211978 0.9214903503 2.29709997 3.617072046 1.24719940 7.28646432 0.79344987]; x=[1.032829500 1.139308775 1.318965771 1.551541059 1.761543540 1.937280282]; t=[1:
www.eeworm.com/read/473070/6854765

eps ex given 1.eps

%!PS-Adobe-2.0 EPSF-1.2 %%Creator: MATLAB, The Mathworks, Inc. %%Title: C:\Documents and Settings\俞哲\桌面\ex given 1.eps %%CreationDate: 04/23/2008 00:24:56 %%DocumentNeededFonts: Helvetica %%Docu
www.eeworm.com/read/473070/6854766

eps ex given 2.eps

%!PS-Adobe-2.0 EPSF-1.2 %%Creator: MATLAB, The Mathworks, Inc. %%Title: C:\Documents and Settings\俞哲\桌面\ex given 2.eps %%CreationDate: 04/23/2008 00:24:29 %%DocumentNeededFonts: Helvetica %%Docu
www.eeworm.com/read/285673/8823890

m probability_of_cluster_given_x.m

function PY = Probability_of_Cluster_given_X(X,Means,Variances,PC,Label_of_Cluster) PY = PC(Label_of_Cluster)*Mixing_Coefficient(X,Means(:,Label_of_Cluster), Variances(:,Label_of_Cluster)); PY = PY/
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txt prob_word_given_tag.txt

,JJ,IN,VB,VBN,TO,NNP,PRP,NN,RB,VBG,DT,CC,VBZ,.,RP went,0.0,0.0,0.074074075,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0 mary,0.0,0.0,0.0,0.0,0.0,0.52380955,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0 playe
www.eeworm.com/read/347828/3162840

txt prob_word_given_tag.txt

,JJ,IN,VB,VBN,TO,NNP,PRP,NN,RB,VBG,DT,CC,VBZ,.,RP went,0.0,0.0,0.074074075,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0 mary,0.0,0.0,0.0,0.0,0.0,0.52380955,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0 playe
www.eeworm.com/read/396844/2407656

m mk_fgraph_given_ev.m

function fg = mk_fgraph_given_ev(G, node_sizes, factors, ev_CPD, evidence, varargin) % MK_FGRAPH_GIVEN_EV Make a factor graph where each node has its own private evidence term % fg = mk_fgraph(G, node
www.eeworm.com/read/140847/5779309

m gaussian_cpd_params_given_dps.m

function [m, C, W] = gaussian_CPD_params_given_dps(CPD, domain, evidence) % GAUSSIAN_CPD_PARAMS_GIVEN_EV_ON_DPS Extract parameters given evidence on all discrete parents % function [m, C, W] = gaussia