Further reading

Chapter 1

• W. Maass: Lecture notes.

Chapter 2

• Chapter 5 (5.1 - 5.3) in C. Bishop: Pattern Recognition and Machine Learning, Springer Verlag, 2006.
• Chapter 6 (6.8) in R. O. Duda, P.E. Hart, D. G. Stork: Pattern Classification, 2nd edition, John Wiley & Sons, 2001.

Chapter 3

• Chapter 6 & 7 (6.6 & 7.4) in T. Mitchell: Machine Learning, McGraw Hill, 1997.
• Chapter 1 in C. Bishop: Pattern Recognition and Machine Learning, Springer Verlag, 2006.

Chapter 4

• Chapter 3 & 8 in T. Mitchell: Machine Learning, McGraw Hill, 1997.
• Chapter 7 in C. Bishop: Pattern Recognition and Machine Learning, Springer Verlag, 2006.

Links

Software

• Matlab (Dokumentation, PDF-Version des Tutorials Getting Started with Matlab)
• Alles zum Thema WEKA: Software, Dokumentation, Weka-Tutorial (PDF, Kapital 8 des Buches), Weka Experiment Environment Tutorial (PDF)
• Matlab Neural Network Toolbox
• Neural Java Homepage

Related study programs

• Telematik seminar / Robotics project
• Currently offered projects and diploma theses at IGI
• Cluster Computational Intelligence

Closely related links

Machine Learning

• The UCI Machine Learning Repository
• Machine Learning Resources at the Institute for AI at the University of Vienna.
• The Machine Learning Network
• 
  
   
• Peter L. Bartlett and W. Maass. Vapnik-chervonenkis dimension of neural nets. In M. A. Arbib, editor, The Handbook of Brain Theory and Neural Networks, pages 1188-1192. MIT Press (Cambridge), 2nd edition, 2003.

Unsupervised Learning

• http://www-edu.gel.usherbrooke.ca/pichevar/Demos.htm
• 
  
   
• Pichevar, R.; Rouat, J.; Feldbauer, C.; Kubin, G. A Bio-Inspired Sound Source Separation Technique in Combination with an Enhanced FIR Gammatone Analysis/Synthesis Filterbank. XIIth European Signal Processing Conference EUSIPCO'04, Vienna, Sept 7-10, 2004, accepted for publication

Online resources and tutorials on Machine Learning

• http://kiew.cs.uni-dortmund.de:8001/

Informationen über Entscheidungsbäume und C4.5

• http://yoda.cis.temple.edu:8080/UGAIWWW/lectures/C45/

Neural Networks

• W. Maass. wetware (deutsche Version). In TAKEOVER: Who is Doing the Art of Tomorrow (Ars Electronica 2001), pages 153-157. Springer, 2001. (PDF, 381 KB).

• Neural Network Resources at the Institute for AI at the University of Vienna.
• NeuroNet