代码搜索：Inference
找到约 1,820 项符合「Inference」的源代码
代码结果 1,820
www.eeworm.com/read/183445/9158756
m bay_lssvm.m
function [A,B,C,D,E] = bay_lssvm(model,level,type, nb, bay)
% Compute the posterior cost for the 3 levels in Bayesian inference
%
% >> cost = bay_lssvm({X,Y,type,gam,sig2}, level, type)
% >> cost = b
www.eeworm.com/read/374698/9388936
m bay_lssvm.m
function [A,B,C,D,E] = bay_lssvm(model,level,type, nb, bay)
% Compute the posterior cost for the 3 levels in Bayesian inference
%
% >> cost = bay_lssvm({X,Y,type,gam,sig2}, level, type)
% >> cost = b
www.eeworm.com/read/361765/10036773
r mcmchierei.r
# sample from the posterior distribution of Wakefield's hierarchical model
# for ecological inference in R using linked C++ code in Scythe
#
# KQ 10/22/2002
"MCMChierEI"
www.eeworm.com/read/164962/10080409
vhd counters_altera.vhd
-- MAX+plus II VHDL Example
-- Efficient Counter Inference
-- Copyright (c) 1994 Altera Corporation
-- download from:www.pld.com.cn & www.fpga.com.cn
Library IEEE ;
use IEEE.std_logic_1164.all
www.eeworm.com/read/162472/10303147
vhd 各种功能的计数器.vhd
-- MAX+plus II VHDL Example
-- Efficient Counter Inference
-- Copyright (c) 1994 Altera Corporation
-- download from:www.pld.com.cn & www.fpga.com.cn
Library IEEE ;
use IEEE.std_logic_1164.all
www.eeworm.com/read/353811/10416342
vhd 各种功能的计数器.vhd
-- MAX+plus II VHDL Example
-- Efficient Counter Inference
-- Copyright (c) 1994 Altera Corporation
-- download from:www.pld.com.cn & www.fpga.com.cn
Library IEEE ;
use IEEE.std_logic_1164.all
www.eeworm.com/read/353811/10416476
vhd 带load、clr等功能的寄存器.vhd
-- Register Inference
-- Download from: http://www.fpga.com.cn
Library IEEE ;
use IEEE.std_logic_1164.all ;
ENTITY reginf IS
PORT
(
d, clk, clr, pre, load, data : IN BIT;
q1, q2,
www.eeworm.com/read/278889/10490713
m bay_lssvm.m
function [A,B,C,D,E] = bay_lssvm(model,level,type, nb, bay)
% Compute the posterior cost for the 3 levels in Bayesian inference
%
% >> cost = bay_lssvm({X,Y,type,gam,sig2}, level, type)
% >> cost = b
www.eeworm.com/read/421949/10676249
m bay_lssvm.m
function [A,B,C,D,E] = bay_lssvm(model,level,type, nb, bay)
% Compute the posterior cost for the 3 levels in Bayesian inference
%
% >> cost = bay_lssvm({X,Y,type,gam,sig2}, level, type)
% >> cost = b
www.eeworm.com/read/417673/10980825
m cri.m
% Compositional rule of inference
% Copyright by Jyh-Shing Roger Jang, 6-2-93.
% (Tested on Matlab version 4.0a, HP workstation)
n = 31; m = 31;
x = linspace(0, 10, n)';
y = linspace(0, 40, m)';
coe