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The 9th International Conference
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CONFERENCE PROGRAM |
13.30 - 13.40: Opening: Michael M. Richter
SESSION 1: Thursday, October 8, Afternoon
Chair: Rolf Wiehagen
13.40 - 14.40: Invited Talk by Stefan Wrobel
ILP for Data Mining: Theoretical, Algorithmical and Practical Aspects of Scalability
SESSION 2: Thursday, October 8, Afternoon
Chair: Steffen Lange
14.40 - 15.05: J. Case, M. Ott, A. Sharma and F. Stephan
Learning To Win Process-Control Games Watching Game-Masters
15.05 - 15.30: K. Apsitis, R. Freivalds, R. Simanovskis and J. Smotrovs
Closedness Properties in EX-identification of Recursive Functions
Coffee Break
SESSION 3: Thursday, October 8, Afternoon
Chair: Sanjay Jain
16.30 - 16.55: V.N. Shevchenko and N.Yu. Zolotykh
Lower Bounds for the Complexity of Learning Half-Spaces with Membership Queries
16.55 - 17.20: M. Fischlin
Cryptographic Limitations on Parallelizing Membership and Equivalence Queries
17.20 - 17.45: G. Melideo and S. Varriccho
Learning Unary Output Two-Tape Automata from Multiplicity and Equivalence Queries
17.45 - 18.10: P. Damaschke
Computational Aspects of Parallel Attribute-Efficient Learning
18.10 - 18.35: F. Denis
PAC Learning with Positive Statistical Queries
Dinner Break
20.00 - 20.45: Business Meeting
SESSION 4: Friday, October 9, Morning
Chair: Thomas Zeugmann
9.00 - 10.00: Invited Talk by Akira Maruoka
Structured Weight-Based Prediction Algorithms
Coffee Break
SESSION 5: Friday, October 9, Morning
Chair: Stefan Wrobel
10.20 - 10.45: M.K.R. Krishna Rao and A. Sattar
Learning from Entailment of Logic Programs with Local Variables
10.45 - 11.10: A. Yamamoto
Logical Aspects of Several Bottom-up Fittings
11.10 - 11.35: N. Sugimoto
Learnability of Translations from Positive Examples
11.35 - 12.00: K. Satoh
Analysis of Case-Based Representability of Boolean Functions by Monotone Theory
Lunch Break
SESSION 6: Friday, October 9, Afternoon
Chair: Arun Sharma
13.30 - 13.55: T. Head, S. Kobayashi and T. Yokomori
Locality, Reversibility, and Beyond: Learning Languages from Positive Data
13.55 - 14.20: J. Case and S. Jain
Synthesizing Learners Tolerating Computable Noisy Data
14.20 - 14.45: M. Sato, Y. Mukouchi and D. Zheng
Characteristic Sets for Unions of Regular Pattern Languages and Compactness
14.45 - 15.10: H. Sakamoto
Finding a One-Variable Pattern from Incomplete Data
15.10 - 15.35: H. Arimura, A. Wataki, R. Fujino and S. Arikawa
A Fast Algorithm for Discovering Optimal String Patterns in Large Text Databases
Coffee Break
SESSION 7: Friday, October 9, Afternoon
Chair: Akira Maruoka
16.30 - 16.55: E. Hirowatari and S. Arikawa
A Comparison of Identification Criteria for Inductive Inference of Recursive Real-Valued Functions
16.55 - 17.20: J. Case, S. Jain, S. Kaufmann, A. Sharma and F. Stephan
Predictive Learning Models for Concept Drift
17.20 - 17.45: S. Jain
Learning with Refutation
17.45 - 18.10: L. Meyer
Comparing the Power of Probabilistic Learning and Oracle Identification under Monotonicity Constraints
18.10 - 18.35: F. Stephan and Y. Ventsov
Learning Algebraic Structures from Text using Semantical Knowledge
Conference Dinner
SESSION 8: Saturday, October 10, Morning
Chair: Michael M. Richter
9.00 - 10.00: Invited Talk by Arun Sharma
What can Inductive Inference do for ILP?
Coffee Break
SESSION 9: Saturday, October 10, Morning
Chair: Carl Smith
10.20 - 10.45: M. Schmitt
On the Sample Complexity for Neural Trees
10.45 - 11.10: K. Verbeurgt
Learning Sub-Classes of Monotone DNF on the Uniform Distribution
11.10 - 11.35: J. Barzdins and U. Sarkans
Using Attribute Grammars for Description of Inductive Inference Search Space
11.35 - 12.00: G. Grieser, K.P. Jantke and S. Lange
Towards the Validation of Inductive Learning Systems
12.00 - 12.25: W. Stein
Consistent Polynomial Identification in the Limit
12.30: Adjorn