代码搜索：optimize
找到约 6,026 项符合「optimize」的源代码
代码结果 6,026
www.eeworm.com/read/457360/7327158
afl macd optimize.afl
//------------------------------------------------------------------------------
//
// Formula Name: MACD optimize
// Author/Uploader: Grayesso
// E-mail: grayesso@rambler.ru
//
www.eeworm.com/read/457360/7327178
afl stochastic optimize.afl
//------------------------------------------------------------------------------
//
// Formula Name: Stochastic optimize
// Author/Uploader: Grayesso
// E-mail: grayesso@rambler.ru
www.eeworm.com/read/455228/7375613
html optimize-options.html
Using the GNU Compiler Collection (GCC)
www.eeworm.com/read/397122/8065750
m bay_optimize.m
function [model,A,B,C,D] = bay_optimize(model,level, type, nb, bay)
% Optimize the posterior probabilities of model (hyper-) parameters with respect to the different levels in Bayesian inference
%
%
www.eeworm.com/read/396136/8124172
html optimize-options.html
Using the GNU Compiler Collection (GCC)
www.eeworm.com/read/331336/12832399
m bay_optimize.m
function [model,A,B,C,D] = bay_optimize(model,level, type, nb, bay)
% Optimize the posterior probabilities of model (hyper-) parameters with respect to the different levels in Bayesian inference
%
%
www.eeworm.com/read/324303/13273663
m bay_optimize.m
function [model,A,B,C,D] = bay_optimize(model,level, type, nb, bay)
% Optimize the posterior probabilities of model (hyper-) parameters with respect to the different levels in Bayesian inference
%
%
www.eeworm.com/read/323119/13352491
result rpl_optimize.result
stop slave;
drop table if exists t1,t2,t3,t4,t5,t6,t7,t8,t9;
reset master;
reset slave;
drop table if exists t1,t2,t3,t4,t5,t6,t7,t8,t9;
start slave;
create table t1 (a int not null auto_increment pri
www.eeworm.com/read/323119/13353863
test rpl_optimize.test
# Test for BUG#1858 "OPTIMIZE TABLE done by a client
# thread stops the slave SQL thread".
# You can replace OPTIMIZE by REPAIR.
#####################################
# Change Author: JBM
# Change Dat
www.eeworm.com/read/318947/13465958
m bay_optimize.m
function [model,A,B,C,D] = bay_optimize(model,level, type, nb, bay)
% Optimize the posterior probabilities of model (hyper-) parameters with respect to the different levels in Bayesian inference
%
%