代码搜索:Learning
找到约 5,352 项符合「Learning」的源代码
代码结果 5,352
www.eeworm.com/read/230098/14306148
txt runfunction.txt
void run(MainParameters& mainP, StateActionFA* safa, Agent* agent, bool saveFA=true)
Synopsys: #include "interface_classes.h
#include "main_init.h"
void run(MainP
www.eeworm.com/read/230098/14306161
txt runfunction.txt
void run(MainParameters& mainP, StateActionFA* safa, Agent* agent, bool saveFA=true)
Synopsys: #include "interface_classes.h
#include "main_init.h"
void run(MainP
www.eeworm.com/read/221024/14767893
html http:^^www.systems.caltech.edu^ee^faculty^abu-mostafa.html
Date: Wednesday, 20-Nov-96 22:25:30 GMT
Server: NCSA/1.3
MIME-version: 1.0
Content-type: text/html
Last-modified: Sunday, 28-Aug-94 01:57:28 GMT
Content-length: 3479
Prof Abu-Mostafa
www.eeworm.com/read/221024/14768384
html http:^^www.das.harvard.edu^users^faculty^leslie_valiant^leslie_valiant.html
Date: Wed, 20 Nov 1996 22:57:17 GMT
Server: NCSA/1.5
Content-type: text/html
Last-modified: Thu, 10 Nov 1994 20:37:22 GMT
Content-length: 2856
Leslie G. Valiant
www.eeworm.com/read/221024/14771620
html http:^^www.cs.washington.edu^homes^map^ila.html
Date: Tue, 10 Dec 1996 03:33:24 GMT
Server: NCSA/1.4.2
Content-type: text/html
Last-modified: Thu, 07 Nov 1996 18:50:55 GMT
Content-length: 1218
The Internet Learning Agent
Th
www.eeworm.com/read/221024/14777415
html http:^^www.cs.utexas.edu^users^ml^ml-progs.html
MIME-Version: 1.0
Server: CERN/3.0
Date: Tuesday, 07-Jan-97 15:55:35 GMT
Content-Type: text/html
Content-Length: 1802
Last-Modified: Monday, 11-Dec-95 16:42:34 GMT
Machine Learning Rese
www.eeworm.com/read/220289/14843898
m demsom1.m
%DEMSOM1 Demonstrate SOM for visualisation.
%
% Description
% This script demonstrates the use of a SOM with a two-dimensional
% grid to map onto data in two-dimensional space. Both on-line and
%
www.eeworm.com/read/217034/14982250
cpp bp.cpp
#include
#include
#include
#include
#include
#include
#define HIDDENLAYER 10
#define INLEN 6
#define OUTLEN 3
#define NUMOFS
www.eeworm.com/read/213492/15133543
pl references.pl
{
"Anderson62" =>"T.W.Anderson and R.R.Bahadur. Classification into two
multivariate normal distributions with differrentia covariance matrices.
Anals of Mathematical Statistics, 33:420--431, Ju
www.eeworm.com/read/212307/15160198
m demsom1.m
%DEMSOM1 Demonstrate SOM for visualisation.
%
% Description
% This script demonstrates the use of a SOM with a two-dimensional
% grid to map onto data in two-dimensional space. Both on-line and
%