Training Sequences

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by Dana Angluin , William I. Gasarch , Carl H. Smith
Citations:8 - 1 self

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