Stephan, Frank

55 publications

ALT 2018 On the Help of Bounded Shot Verifiers, Comparators and Standardisers for Learnability in Inductive Inference Ziyuan Gao, Sanjay Jain, Frank Stephan, Thomas Zeugmann
ALT 2017 Automatic Learning from Repetitive Texts Rupert Hölzl, Sanjay Jain, Philipp Schlicht, Karen Seidel, Frank Stephan
ALT 2016 Learning Pattern Languages over Groups Rupert Hölzl, Sanjay Jain, Frank Stephan
ALT 2015 Combining Models of Approximation with Partial Learning Ziyuan Gao, Frank Stephan, Sandra Zilles
ALT 2015 Priced Learning Sanjay Jain, Junqi Ma, Frank Stephan
ALT 2014 On the Role of Update Constraints and Text-Types in Iterative Learning Sanjay Jain, Timo Kötzing, Junqi Ma, Frank Stephan
ALT 2013 Algorithmic Learning Theory - 24th International Conference, ALT 2013, Singapore, October 6-9, 2013. Proceedings Sanjay Jain, Rémi Munos, Frank Stephan, Thomas Zeugmann
ALT 2013 Editors' Introduction Sanjay Jain, Rémi Munos, Frank Stephan, Thomas Zeugmann
ALT 2013 Partial Learning of Recursively Enumerable Languages Ziyuan Gao, Frank Stephan, Sandra Zilles
ALT 2012 Confident and Consistent Partial Learning of Recursive Functions Ziyuan Gao, Frank Stephan
ALT 2012 Enlarging Learnable Classes Sanjay Jain, Timo Kötzing, Frank Stephan
ALT 2011 Learning and Classifying Sanjay Jain, Eric Martin, Frank Stephan
ALT 2011 Robust Learning of Automatic Classes of Languages Sanjay Jain, Eric Martin, Frank Stephan
ALT 2010 Algorithmic Learning Theory, 21st International Conference, ALT 2010, Canberra, Australia, October 6-8, 2010. Proceedings Marcus Hutter, Frank Stephan, Vladimir Vovk, Thomas Zeugmann
ALT 2010 Editors' Introduction Marcus Hutter, Frank Stephan, Vladimir Vovk, Thomas Zeugmann
COLT 2009 Consistent Partial Identification Sanjay Jain, Frank Stephan
ALT 2009 Learning from Streams Sanjay Jain, Frank Stephan, Nan Ye
ALT 2009 Uncountable Automatic Classes and Learning Sanjay Jain, Qinglong Luo, Pavel Semukhin, Frank Stephan
ALT 2008 Iterative Learning of Simple External Contextual Languages Leonor Becerra-Bonache, John Case, Sanjay Jain, Frank Stephan
ALT 2008 Numberings Optimal for Learning Sanjay Jain, Frank Stephan
ALT 2007 Learning in Friedberg Numberings Sanjay Jain, Frank Stephan
COLT 2007 Mitotic Classes Sanjay Jain, Frank Stephan
ALT 2007 Prescribed Learning of R.E. Classes Sanjay Jain, Frank Stephan, Nan Ye
ALT 2006 Algorithmic Learning Theory, 17th International Conference, ALT 2006, Barcelona, Spain, October 7-10, 2006, Proceedings José L. Balcázar, Philip M. Long, Frank Stephan
ALT 2006 Editors' Introduction José L. Balcázar, Philip M. Long, Frank Stephan
COLT 2006 Memory-Limited U-Shaped Learning Lorenzo Carlucci, John Case, Sanjay Jain, Frank Stephan
ALT 2005 Absolute Versus Probabilistic Classification in a Logical Setting Sanjay Jain, Eric Martin, Frank Stephan
ALT 2005 Non U-Shaped Vacillatory and Team Learning Lorenzo Carlucci, John Case, Sanjay Jain, Frank Stephan
COLT 2005 Variations on U-Shaped Learning Lorenzo Carlucci, Sanjay Jain, Efim B. Kinber, Frank Stephan
ALT 2004 On the Data Consumption Benefits of Accepting Increased Uncertainty Eric Martin, Arun Sharma, Frank Stephan
ALT 2003 Learning a Subclass of Regular Patterns in Polynomial Time John Case, Sanjay Jain, Rüdiger Reischuk, Frank Stephan, Thomas Zeugmann
ALT 2003 On Ordinal VC-Dimension and Some Notions of Complexity Eric Martin, Arun Sharma, Frank Stephan
ALT 2002 Classes with Easily Learnable Subclasses Sanjay Jain, Wolfram Menzel, Frank Stephan
ALT 2002 Learning, Logic, and Topology in a Common Framework Eric Martin, Arun Sharma, Frank Stephan
ALT 2002 On the Learnability of Vector Spaces Valentina S. Harizanov, Frank Stephan
ALT 2001 Learning How to Separate Sanjay Jain, Frank Stephan
ALT 2001 Learning by Switching Type of Information Sanjay Jain, Frank Stephan
ALT 2001 Refuting Learning Revisited Wolfgang Merkle, Frank Stephan
COLT 2001 Robust Learning - Rich and Poor John Case, Sanjay Jain, Frank Stephan, Rolf Wiehagen
COLT 2000 Average-Case Complexity of Learning Polynomials Frank Stephan, Thomas Zeugmann
ALT 1999 On the Uniform Learnability of Approximations to Non-Recursive Functions Frank Stephan, Thomas Zeugmann
ALT 1999 The VC-Dimension of Subclasses of Pattern Andrew R. Mitchell, Tobias Scheffer, Arun Sharma, Frank Stephan
ALT 1998 Learning Algebraic Structures from Text Using Semantical Knowledge Frank Stephan, Yuri Ventsov
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
COLT 1997 Generalized Notions of Mind Change Complexity Arun Sharma, Frank Stephan, Yuri Ventsov
COLT 1997 Resource Bounded Next Value and Explanatory Identification: Learning Automata, Patterns and Polynomials On-Line Susanne Kaufmann, Frank Stephan
COLT 1996 Trees and Learning Wolfgang Merkle, Frank Stephan
ALT 1996 Vacillatory and BC Learning on Noisy Data John Case, Sanjay Jain, Frank Stephan
COLT 1995 Language Learning from Texts: Mind Changes, Limited Memory and Monotonicity (Extended Abstract) Efim B. Kinber, Frank Stephan
COLT 1995 Learning via Queries and Oracles Frank Stephan
ALT 1995 Noisy Inference and Oracles Frank Stephan
COLT 1994 Inclusion Problems in Parallel Learning and Games (Extended Abstract) Martin Kummer, Frank Stephan
COLT 1993 On the Structure of Degrees of Inferability Martin Kummer, Frank Stephan