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 %