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ORCID1st AAIP@ICML 2005, Bonn, Germany
- Emanuel Kitzelmann, Roland Olsson, Ute Schmid:
Workshop on Approaches and Applications of Inductive Programming, AAIP 2005, to be held in conjunction with the 22nd International Conference on Machine Learning (ICML 2005), Bonn, Germany, August 7, 2005. 2005
Invited Talk Abstracts
- Stephen H. Muggleton:
Learning the Time Complexity of Logic Programs. 9 - Jürgen Schmidhuber:
How to Learn a Program: Optimal Universal Learners & Goedel Machines. 11 - Fritz Wysotzki:
Development of Inductive Synthesis of Functional Programs. 13
Full Papers
- Emanuel Kitzelmann, Ute Schmid:
An Explanation Based Generalization Approach to Inductive Synthesis of Functional Programs. 15-26 - Oleg G. Monakhov, Emilia A. Monakhova:
Synthesis of Scientific Algorithms based on Evolutionary Computation and Templates. 29-35 - Andrea Passerini, Paolo Frasconi, Luc De Raedt:
Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting. 37-48 - M. R. K. Krishna Rao:
Learning Recursive Prolog Programs with Local Variables from Examples. 51-57
Work in Progress Reports
- Ramiro Aguilar, Luis Alonso, Vivian F. López, María N. Moreno:
Incremental discovery of sequential patterns for grammatical inference. 59-67 - Palem GopalaKrishna:
Data-dependencies and Learning in Artificial Systems. 69-78
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