代码搜索：Sampling
找到约 3,969 项符合「Sampling」的源代码
代码结果 3,969
www.eeworm.com/read/212307/15160202
m metrop.m
function [samples, energies, diagn] = metrop(f, x, options, gradf, varargin)
%METROP Markov Chain Monte Carlo sampling with Metropolis algorithm.
%
% Description
% SAMPLES = METROP(F, X, OPTIONS) use
www.eeworm.com/read/209631/15216235
m fftplot_pad.m
function f=fftplot(sig, ts)
% f=fftplot(signal, ts)
%
% Plots the first half of the spectrum of the signal.
%
% ts is the sampling period. If ts is omitted, it is assumed that
%
[rows,cols] = size(s
www.eeworm.com/read/13871/284679
m demmlp1.m
%DEMMLP1 Demonstrate simple regression using a multi-layer perceptron
%
% Description
% The problem consists of one input variable X and one target variable
% T with data generated by sampling X a
www.eeworm.com/read/14806/423549
h psych.h
/* CREATED BY : Bernhard Grill -- August-96 */
#include "all.h"
#ifndef M_PI
#define M_PI 3.14159265358979323846
#endif
typedef struct {
long sampling_rate; /*
www.eeworm.com/read/251838/4415162
m marginal_nodes.m
function [marginal, engine] = marginal_nodes(engine, nodes, varargin);
% MARGINAL_NODES Compute the marginal on the specified query nodes
% (gibbs_sampling_engine)
% [marginal, engine] = marginal_node
www.eeworm.com/read/251522/4419085
m marginal_nodes.m
function [marginal, engine] = marginal_nodes(engine, nodes, varargin);
% MARGINAL_NODES Compute the marginal on the specified query nodes
% (gibbs_sampling_engine)
% [marginal, engine] = marginal_node
www.eeworm.com/read/215485/4904123
m marginal_nodes.m
function [marginal, engine] = marginal_nodes(engine, nodes, varargin);
% MARGINAL_NODES Compute the marginal on the specified query nodes
% (gibbs_sampling_engine)
% [marginal, engine] = marginal_node
www.eeworm.com/read/197905/5091569
m marginal_nodes.m
function [marginal, engine] = marginal_nodes(engine, nodes, varargin);
% MARGINAL_NODES Compute the marginal on the specified query nodes
% (gibbs_sampling_engine)
% [marginal, engine] = marginal_node
www.eeworm.com/read/346158/3190155
m marginal_nodes.m
function [marginal, engine] = marginal_nodes(engine, nodes, varargin);
% MARGINAL_NODES Compute the marginal on the specified query nodes
% (gibbs_sampling_engine)
% [marginal, engine] = marginal_node
www.eeworm.com/read/344585/3207663
m demolgd1.m
%DEMOLGD1 Demonstrate simple MLP optimisation with on-line gradient descent
%
% Description
% The problem consists of one input variable X and one target variable
% T with data generated by sampling X