Special Issue on Computational Learning Theory

[Peter Auer]

			   Call for Papers
		    Special Issue of Algorithmica
		   on Computational Learning Theory

		 Expected publication date: Fall 1997
		Submission deadline: January 31, 1997
	     Guest editors: Peter Auer and Wolfgang Maass


      
Besides constructing mathematical theories for Machine Learning,
Computational Learning Theory analyses learning algorithms, tries to
identify the necessary and sufficient amount of information required
for learning, and investigates the computational complexity of
learning problems. 
   
For this special issue of Algorithmica we are looking for high quality
papers addressing topics such as 
   * design and analysis of learning algorithms, 
   * complexity of learning, 
   * mathematical models of learning,
   * supervised and unsupervised learning on neural nets
   * theory of (statistical) pattern recognition
   * ... 
(suitable topics are not limited to this short list).   


Submitted papers will go through the usual refereeing process of
Algorithmica. Authors should either send four copies of their paper to

   Peter Auer 
   Institute for Theoretical Computer Science
   University of Technology, Graz
   Klosterwiesgasse 32/2
   A-8010 Graz
   Austria

or send their paper electronically as postscript or latex file to    

   silt at igi.tu-graz.ac.at.
   
   
Submissions should be formated accordingly to the following instructions.   

   Manuscripts should be typed on only one side of the page with wide
   margins. 
   The title page of the article should include all the authors'
   affiliations and the mailing address, phone, and fax numbers, and
   the email address of the corresponding author, 5-10 key words, and
   a detailed abstract emphasizing the main contribution of the paper.
   Footnotes other than those referring to the title or author
   affiliation should be avoided. If they are essential, they should
   be numbered consecutively and listed on a separate page, following
   the text. 


If you are planning to submit a paper to the special issue we would
like you to send us a short note (silt at igi.tu-graz.ac.at), so that we
are able to plan ahead more easily.    


This and and eventually updated information can also be found at
http://www.cis.tu-graz.ac.at/igi/pauer/silt.html. Requests can be sent
to silt at igi.tu-graz.ac.at.


Peter Auer and Wolfgang Maass