AAIP 2005

Workshop on
to be held on August 7th
2005 in conjunction with the
22nd International Conference on Machine Learning (ICML 2005) in
Bonn, Germany. Organized by
Emanuel Kitzelmann,
Roland Olsson,
Ute Schmid.


Proceedings
The complete AAIP 2005 proceedings.
[PDF]
Single Contributions
Invited Talk Abstracts

Stephen Muggleton:
Learning the Time Complexity of Logic Programs

[PDF] 
Jürgen Schmidhuber:
How to Learn a Program: Optimal Universal Learners & Goedel Machines

[PDF] 
Fritz Wysotzki:
Development of Inductive Synthesis of Functional Programs

[PDF] 

Full Papers

Emanuel Kitzelmann and Ute Schmid:
An Explanation Based Generalization Approach to Inductive Synthesis
of Functional Programs

[PDF] 
Oleg Monakhov and Emilia Monakhova:
Synthesis of Scientific Algorithms based on Evolutionary Computation
and Templates

[PDF] 
A. Passerini, P. Frasconi, and L. De Raedt:
Kernels on Prolog Proof Trees: Statistical Learning in the ILP
Setting

[PDF] 
Full Paper by M. R. K. Krishna Rao:
Learning Recursive Prolog Programs with Local Variables from Examples

[PDF] 

Work in Progress Reports

Ramiro Aguilar, Luis Alonso,
Vivian López, and María N. Moreno:
Incremental discovery of sequential patterns for grammatical
inference

[PDF] 
Palem GopalaKrishna:
Datadependencies and Learning in Artificial Systems

[PDF] 

Please send technical remarks to the Webmaster,
emanuel.kitzelmann(at)wiai.unibamberg.de
Last modified: Mon Jun 20 12:15:19 2005
