Case, John

34 publications

ALT 2013 Topological Separations in Inductive Inference John Case, Timo Kötzing

ALT 2010 Solutions to Open Questions for Non-U-Shaped Learning with Memory Limitations John Case, Timo Kötzing

COLT 2010 Strongly Non-U-Shaped Learning Results by General Techniques John Case, Timo Kötzing

ALT 2009 Difficulties in Forcing Fairness of Polynomial Time Inductive Inference John Case, Timo Kötzing

ALT 2008 Dynamic Modeling in Inductive Inference John Case, Timo Kötzing

ALT 2008 Dynamically Delayed Postdictive Completeness and Consistency in Learning John Case, Timo Kötzing

ALT 2008 Iterative Learning of Simple External Contextual Languages Leonor Becerra-Bonache, John Case, Sanjay Jain, Frank Stephan

ALT 2008 Optimal Language Learning John Case, Samuel E. Moelius

MLJ 2008 U-Shaped, Iterative, and Iterative-with-Counter Learning John Case, Samuel E. Moelius

ALT 2007 Feasible Iteration of Feasible Learning Functionals John Case, Timo Kötzing, Todd Paddock

COLT 2007 Learning Correction Grammars Lorenzo Carlucci, John Case, Sanjay Jain

ALT 2007 Parallelism Increases Iterative Learning Power John Case, Samuel E. Moelius

COLT 2007 U-Shaped, Iterative, and Iterative-with-Counter Learning John Case, Samuel E. Moelius

COLT 2006 Memory-Limited U-Shaped Learning Lorenzo Carlucci, John Case, Sanjay Jain, Frank Stephan

ALT 2005 Non U-Shaped Vacillatory and Team Learning Lorenzo Carlucci, John Case, Sanjay Jain, Frank Stephan

ALT 2004 Algorithmic Learning Theory, 15th International Conference, ALT 2004, Padova, Italy, October 2-5, 2004, Proceedings Shai Ben-David, John Case, Akira Maruoka

COLT 2003 Generality's Price: Inescapable Deficiencies in Machine-Learned Programs John Case, Keh-Jiann Chen, Sanjay Jain, Wolfgang Merkle, James S. Royer

ALT 2003 Learning a Subclass of Regular Patterns in Polynomial Time John Case, Sanjay Jain, Rüdiger Reischuk, Frank Stephan, Thomas Zeugmann

COLT 2003 On Learning to Coordinate: Random Bits Help, Insightful Normal Forms, and Competency Isomorphisms John Case, Sanjay Jain, Franco Montagna, Giulia Simi, Andrea Sorbi

COLT 2001 Robust Learning - Rich and Poor John Case, Sanjay Jain, Frank Stephan, Rolf Wiehagen

ALT 1998 Learning to Win Process-Control Games Watching Game-Masters John Case, Matthias Ott, Arun Sharma, Frank Stephan

ALT 1998 Predictive Learning Models for Concept Drift John Case, Sanjay Jain, Susanne Kaufmann, Arun Sharma, Frank Stephan

COLT 1998 Robust Learning Aided by Context John Case, Sanjay Jain, Matthias Ott, Arun Sharma, Frank Stephan

ALT 1998 Synthesizing Learners Tolerating Computable Noisy Data John Case, Sanjay Jain

ALT 1997 Synthesizing Noise-Tolerant Language Learners John Case, Sanjay Jain, Arun Sharma

COLT 1996 Synthesizing Enumeration Techniques for Language Learning Ganesh R. Baliga, John Case, Sanjay Jain

ALT 1996 Vacillatory and BC Learning on Noisy Data John Case, Sanjay Jain, Frank Stephan

ALT 1995 Machine Induction Without Revolutionary Paradigm Shifts John Case, Sanjay Jain, Arun Sharma

ALT 1994 Learning with Higher Order Additional Information Ganesh R. Baliga, John Case

COLT 1992 On Learning Limiting Programs John Case, Sanjay Jain, Arun Sharma

ALT 1990 Anomalous Learning Helps Succinctness (Extended Abstract) John Case, Sanjay Jain, Arun Sharma

COLT 1990 Proceedings of the Third Annual Workshop on Computational Learning Theory, COLT 1990, University of Rochester, Rochester, NY, USA, August 6-8, 1990 Mark A. Fulk, John Case

COLT 1989 Convergence to Nearly Minimal Size Grammars by Vacillating Learning Machines Sanjay Jain, Arun Sharma, John Case

COLT 1988 The Power of Vacillation John Case