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1
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Learning via Queries with Teams and Anomalies
– William I. Gasarch, Efim B. Kinber, Mark G. Pleszkoch, Carl H. Smith, Thomas Zeugmann
|
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9
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On the Impact of Forgetting on Learning Machines
– Rusins Freivalds, Efim Kinber, Carl H. Smith
- 1993
|
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44
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The Power of Vacillation in Language Learning
– John Case
- 1992
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3
|
Learning Programs With an Easy to Calculate Set of Errors
– William I. Gasarch, Ramesh K. Sitaraman, Carl H. Smith, Mahendran Velauthapillai
- 1989
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5
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Recursion Theoretic Models of Learning: Some Results and Intuitions
– Carl H. Smith, William I. Gasarch
- 1995
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7
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On Aggregating Teams of Learning Machines
– Sanjay Jain, Arun Sharma
- 1994
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12
|
Complexity issues for vacillatory function identification
– Sanjay Jain, Arun Sharma
- 1995
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2
|
Probabilistic inductive inference: a survey
– Andris Ambainis
- 2001
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4
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On identification by teams and probabilistic machines
– Sanjay Jain, Arun Sharma
- 1995
|
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3
|
On Duality in Learning and the Selection of Learning Teams
– Kalvis Apsitis, Rusins Freivalds, Carl H. Smith
- 1996
|
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73
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Inductive Inference, DFAs and Computational Complexity
– Leonard Pitt
- 1989
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8
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Avoiding Coding Tricks by Hyperrobust Learning
– Matthias Ott , Frank Stephan
|
|
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Learning Recursive Functions: A Survey
– Thomas Zeugmann , Sandra Zilles
- 2008
|
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3
|
Choosing a Learning Team: a Topological Approach
– Kalvis Apsitis, Rusins Freivalds, Carl H. Smith
- 1994
|
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4
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On the Role of Search for Learning from Examples
– Stuart A. Kurtz, Carl H. Smith, Rolf Wiehagen
|
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2
|
Strong separation of learning classes
– Keh-jiann Chen, Sanjay Jain
- 1992
|
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3
|
Machine induction without revolutionary changes in hypothesis size
– Sanjay Jain, Arun Sharma
- 1996
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14
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Computational Limits on Team Identification of Languages
– Sanjay Jain, Arun Sharma
- 1993
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1
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Measure, Category and Learning Theory
– Lance Fortnow, Rusins Freivalds, William I. Gasarch, Martin Kummer, Stuart A. Kurtz, Carl H. Smith
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