Complexity of teaching by a restricted number of examples

COLT 2009 - The 22nd Conference on Learning Theory

Volumn , Issue , 2009, Pages

  Kobayashi, Hayato ^a   Shinohara, Ayumi ^a  

^a TOHOKU UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSICAL MODEL; COMPUTATIONAL LEARNING THEORY; CONCEPT CLASS; MAXIMUM ERROR; TARGET CONCEPT;

TEACHING;

EID: 84898069207     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Dana Angluin. Queries and Concept Learning. Machine Learning, 2(4): 319-342, 1988.
2. Frank J. Balbach. Measuring teachability using variants of the teaching dimension. Theoretical Computer Science, 397(1-3): 94-113, 2008.
3. Frank J. Balbach and Thomas Zeugmann. Teaching Randomized learners. In Proceedings of the 19th Annual Conference on Learning Theory (COLT 2006), Volume 4005 of LNCS, pages 229-243. Springer-Verlag, 2006.
4. Sally A. Goldman and Michael J. Kearns. On the Complexity of Teaching. Journal of Computer and System Sciences, 50: 303-314, 1995.
5. E. Mark Gold. Language identification in the limit. Information and Control, 10(5): 447-474, 1967.
6. Steve Hanneke. Teaching Dimension and the Complexity of Active Learning. In Proceedings of the 20th Annual Conference on Learning Theory (COLT 2007), Volume 4539 of LNCS, pages 66-81. Springer-Verlag, 2007.
7. Tibor Hegedus. Generalized Teaching Dimensions and the Query Complexity of Learning. In Proceedings of the Eighth Annual Conference on Computational Learning Theory (COLT 1995), pages 108-117. ACM Press, 1995.
8. Jeffrey Jackson and Andrew Tomkins. A Computational Model of Teaching. In Proceedings of the Fifth Annual ACM Conference on Computational Learning Theory (COLT 1992), pages 319-326. ACM Press, 1992.
9. Homin K. Lee, Rocco A. Servedio, and Andrew Wan. DNF are teachable in the average case. Machine Learning, 69(2-3): 79-96, 2007.
10. H. David Mathias. A Model of Interactive Teaching. Journal of Computer and System Sciences, 54(3): 487-501, 1997.
11. Ayumi Shinohara and Satoru Miyano. Teachability in Computational Learning. New Generation Computing, 8(4): 337-347, 1991.
12. Leslie G. Valiant. A Theory of the Learnable. Communications of the ACM, 27(11): 1134-1142, 1984.
13. Sandra Zilles, Steffen Lange, Robert Holte, and Martin Zinkevich. Teaching Dimensions Based on Cooperative Learning. In Proceedings of the 21st Annual Conference on Learning Theory (COLT 2008), pages 135-146. Omnipress, 2008.