Survey Papers in Algorithmic Learning Theory
-
Dana Angluin,
Computational learning theory: survey and selected bibliography, in
Annual ACM Symposium on Theory of Computing,
Proceedings of the twenty-fourth annual ACM symposium on Theory of computing,
Victoria, British Columbia, Canada
Pages: 351 - 369, 1992.
- Martin Anthony,
Probabilistic Analysis of
Learning in Artificial Neural
Networks: The PAC Model and its Variants,
Neural Computing Surveys, Vol.1, 1-47, 1997.
-
Olivier Bousquet, Stéphane Boucheron and Gábor Lugosi,
Introduction to Statistical Learning Theory,
in “Advanced Lectures on Machine Learning,”
(Olivier Bousquet, Ulrike von Luxburg, and Gunnar Rätsch, Eds.),
Lecture Notes in Artificial Intelligence 3176, pp. 169 - 207, 2004.
- William Gasarch and
Carl H. Smith,
A survey of inductive inference with an emphasis on queries,
in
Complexity, Logic, and Recursion Theory, (A. Sorbi, Ed.),
Lecture Notes in Pure and Applied Mathematics, Volume 187, 1997, pp. 225-260,
Marcel Dekker, Inc., New York, USA.
- Ricard Gavaldà,
The Complexity of
Learning with Queries, Proceedings of the
9th IEEE Structures in Complexity Theory Conference, IEEE Press, 1994,
324-337.
-
Steffen Lange,
Thomas Zeugmann, and
Sandra Zilles,
Learning indexed families of recursive languages from positive data: A survey
Theoretical Computer Science, Vol. 397, Issues 1-3, 2008, 194-232 .
(Special Issue Forty Years of Inductive Inference: Dedicated to the 60th Birthday of Rolf Wiehagen)
Abstract.
- Thomas Zeugmann and
Steffen Lange,
A Guided
Tour Across the Boundaries of Learning Recursive Languages,
in
“Algorithmic Learning for Knowledge-Based Systems,”
(K.P. Jantke and S. Lange, Eds.),
Lecture Notes in Artificial Intelligence 961, pp. 190 - 258,
Springer-Verlag 1995.
Abstract.
-
Thomas Zeugmann and
Sandra Zilles,
Learning recursive functions: A survey
Theoretical Computer Science, Vol. 397, Issues 1-3, 2008, 4-56.
(Special Issue Forty Years of Inductive Inference: Dedicated to the 60th Birthday of Rolf Wiehagen)
Abstract.
For further information, please contact
Thomas Zeugmann
-
"thomas" at "ist.hokudai.ac.jp"
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