代码搜索：predict
找到约 2,271 项符合「predict」的源代码
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www.eeworm.com/read/420710/10779677
txt 关联规则挖掘数据集.txt
Data mining is
about finding interesting
structures in data,
which may be interpreted
as knowledge about
the data or may be used
to predict events related to the data.
These structures
take
www.eeworm.com/read/316414/13523295
m censusgui.m
function censusgui(callbackarg)
%CENSUSGUI Try to predict the US population in the year 2010.
% This example is older than MATLAB. It started as an exercise in
% "Computer Methods for Mathematical Co
www.eeworm.com/read/316412/13523372
m censusgui.m
function censusgui(callbackarg)
%CENSUSGUI Try to predict the US population in the year 2010.
% This example is older than MATLAB. It started as an exercise in
% "Computer Methods for Mathematical Co
www.eeworm.com/read/273525/4209085
ado _pk_p.ado
*! version 1.0.0 04oct2000
program define _pk_p
version 7
di as error "predict after pkcross not allowed"
exit 198
end
www.eeworm.com/read/202680/15375894
m censusgui.m
function censusgui(callbackarg)
%CENSUSGUI Try to predict the US population in the year 2010.
% This example is older than MATLAB. It started as an exercise in
% "Computer Methods for Mathematical Co
www.eeworm.com/read/293220/8307092
h resource.h
//{{NO_DEPENDENCIES}}
// Microsoft Developer Studio generated include file.
// Used by Predict.rc
//
#define IDM_ABOUTBOX 0x0010
#define IDD_ABOUTBOX 100
#d
www.eeworm.com/read/273525/4204266
ado nlcom_p.ado
*! version 1.0.0 08mar2002
program nlcom_p
version 8
di as err "predict not allowed after posting nlcom results"
exit 301
end
www.eeworm.com/read/384423/2601567
am makefile.am
lib_LTLIBRARIES = libfaad.la
include_HEADERS = ../include/faad.h
libfaad_la_SOURCES = bits.c cfft.c decoder.c drc.c \
error.c filtbank.c \
ic_predict.c is.c lt_predict.c mdct.c mp4.c ms.c output.c pn
www.eeworm.com/read/192078/8408247
m fqrrls3.m
%FQRRLS3T Problem 3.4
%
% 'ifile.mat' - input file containing:
% I - members of ensemble
% K - iterations
% s - deterministic part of signal to predict
% sigman - standar
www.eeworm.com/read/288304/8643835
m lms_ar_pred.m
% lms_AR_pred.m - use multidimensional LMS algorithm to predict AR process
% written for MATLAB 4.0
%
% Input parameters:
% Xi : matrix of training/test points - each row is