Recursion Theoretic Models of Learning: Some Results and Intuitions (1995)


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by Carl H. Smith , William I. Gasarch
Venue:Annals of Mathematics and Artificial Intelligence
Citations:5 - 2 self

Active Bibliography

1 Learning via Queries with Teams and Anomalies – William I. Gasarch, Efim B. Kinber, Mark G. Pleszkoch, Carl H. Smith, Thomas Zeugmann
8 Training Sequences – Dana Angluin, William I. Gasarch, Carl H. Smith
I. Introduction Training Sequences by – Dana Angluin
3 Learning Programs With an Easy to Calculate Set of Errors – William I. Gasarch, Ramesh K. Sitaraman, Carl H. Smith, Mahendran Velauthapillai - 1989
1 On the Relative Sizes of Learnable Sets – Lance Fortnow, Rusins Freivalds, William I. Gasarch, Martin Kummer, Stuart A. Kurtz, Carl H. Smith
1 The Complexity of Learning SUBSEQ(A) – Stephen Fenner, William Gasarch
1068 Learning Stochastic Logic Programs – Stephen Muggleton - 2000
Learning Recursive Functions: A Survey – Thomas Zeugmann , Sandra Zilles - 2008
631 Inverse entailment and Progol – Stephen Muggleton - 1995