BEGIN:VCALENDAR
VERSION:2.0
PRODID:ILLC Website
X-WR-TIMEZONE:Europe/Amsterdam
BEGIN:VTIMEZONE
TZID:Europe/Amsterdam
X-LIC-LOCATION:Europe/Amsterdam
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19700329T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:19701025T030000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:/NewsandEvents/Archives/2003/newsitem/530/22-O
 ctober-2003-Learning-Solutions-2003-Adaptive-Intel
 ligence-in-research-and-practical-applications-Rad
 boud-Auditorium-Nijmegen-the-Netherlands
DTSTAMP:20030926T000000
SUMMARY:Learning Solutions 2003: Adaptive Intellig
 ence in research and practical applications, Radbo
 ud Auditorium, Nijmegen, the Netherlands
DTSTART;VALUE=DATE:20031022
DTEND;VALUE=DATE:20031022
LOCATION:Radboud Auditorium, Nijmegen, the Netherl
 ands
DESCRIPTION:Neural networks are computer programs 
 that are able to learn. Their functioning is inspi
 red by the function of the brain. The value added 
 by neural networks is strongest for those problems
  that lack explicit knowledge. A large number of n
 eural network aided applications has already been 
 realized. Well-known applications are pattern reco
 gnition, time series prediction, and process contr
 ol. Neural networks do not always produce the best
  solution, however. Better solutions are therefore
  often obtained through a combination with explici
 t domain knowledge. Bayesian statistics offers an 
 elegant formalism to combine learning and explicit
  modeling. Furthermore, statistical methods for qu
 antification of reliability are of great importanc
 e. A modern trend is therefore marked by an integr
 ated approach that combines neural networks with m
 ethods from statistics and artificial intelligence
 . The symposium 'Learning Solutions 2003' offers a
 n up-to-date overview of Dutch research in this ar
 ea.   For more information, see http://www.snn.kun
 .nl/nederland/index.php3?page=15
X-ALT-DESC;FMTTYPE=text/html:\n      <p>\nNeural n
 etworks are computer programs that are able to lea
 rn.\nTheir functioning is inspired by the function
  of the brain. \nThe value added by neural network
 s is strongest for those \nproblems that lack expl
 icit knowledge.\n A large number of neural network
  aided applications has already been realized. \nW
 ell-known applications are pattern recognition, ti
 me series prediction,\n and process control.\n Neu
 ral networks do not always produce the best soluti
 on, however. \nBetter solutions are therefore ofte
 n obtained through a combination\n with explicit d
 omain knowledge.\n Bayesian statistics offers an e
 legant formalism to combine learning \nand explici
 t modeling. \nFurthermore, statistical methods for
  quantification of reliability \nare of great impo
 rtance. \nA modern trend is therefore marked by an
  integrated approach that \ncombines neural networ
 ks with methods from statistics and \nartificial i
 ntelligence. \nThe symposium 'Learning Solutions 2
 003' offers an up-to-date \noverview of Dutch rese
 arch in this area.\n      </p>\n    \n      <p>For
  more information, see\n        <a target="_blank"
  href="http://www.snn.kun.nl/nederland/index.php3?
 page=15">http://www.snn.kun.nl/nederland/index.php
 3?page=15</a>\n      </p>\n    
URL:/NewsandEvents/Archives/2003/newsitem/530/22-O
 ctober-2003-Learning-Solutions-2003-Adaptive-Intel
 ligence-in-research-and-practical-applications-Rad
 boud-Auditorium-Nijmegen-the-Netherlands
END:VEVENT
END:VCALENDAR