Parsimony Hierarchies for Inductive Inference (2004)

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by Andris Ambainis , John Case , Sanjay Jain , Mandayam Suraj
Venue:JOURNAL OF SYMBOLIC LOGIC
Citations:2 - 1 self

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39 Incremental concept learning for bounded data mining – Sanjay Jain, Steffen Lange, Thomas Zeugmann - 1999
Inductive Inference of ... vs. ...-Definitions for Computable Functions – John Case, Mandayam Suraj, Ayam Suraj - 2002
18 Infinitary Self Reference in Learning Theory – John Case - 1994
16 Synthesizing Enumeration Techniques For Language Learning – Ganesh R. Baliga, John Case, Sanjay Jain - 1996
44 The Power of Vacillation in Language Learning – John Case - 1992
4 On identification by teams and probabilistic machines – Sanjay Jain, Arun Sharma - 1995
2 Strong separation of learning classes – Keh-jiann Chen, Sanjay Jain - 1992
5 Learning from Multiple Sources of Inaccurate Data – Ganesh Baliga, Sanjay Jain, Arun Sharma - 1992
12 Complexity issues for vacillatory function identification – Sanjay Jain, Arun Sharma - 1995
11 On learning limiting programs – John Case, Sanjay Jain, Arun Sharma - 1992
10 On the Impact of Forgetting on Learning Machines – Rusins Freivalds, Efim Kinber, Carl H. Smith - 1993
13 Elementary formal systems, intrinsic complexity, and procrastination – Sanjay Jain, Arun Sharma - 1997
6 Non U-Shaped Vacillatory and Team Learning – Lorenzo Carlucci , John Case, Sanjay Jain , Frank Stephan - 2008
17 Computational Limits on Team Identification of Languages – Sanjay Jain, Arun Sharma - 1993
4 Degrees of Computing and Learning – Frank Stephan - 1999
9 Learning in the presence of inaccurate information – Mark Fulk, Sanjay Jain - 1989
6 Program synthesis in the presence of infinite number of inaccuracies – Sanjay Jain, Lower Kent Ridge - 1994
4 Vacillatory learning of nearly minimal size grammars – Sanjay Jain, Arun Sharma - 1994
1 From Learning in the Limit to Stochastic Finite Learning – Thomas Zeugmann - 2005