Workshop on

Approaches and Applications of Inductive Programming (AAIP)

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.


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: Data-dependencies and Learning in Artificial Systems [PDF]

Please send technical remarks to the Webmaster, emanuel.kitzelmann(at)

Last modified: Mon Jun 20 12:15:19 2005