Informations- und berechnungstheoretische
Barrieren beim algorithmischen Lernen (in german)
C. Kuhlmann
Dissertation Ruhr-Universität-Bochum, Shaker Verlag
2000
Hardness-Results for General Two-Layer
Neural Networks C. Kuhlmann
Proceedings of the 13th Annual Conference on Computational Learning Theory,
p. 275-285, 2000
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paper.
Full paper published as Technical Report in
NeuroCOLT Technical
Report Series, No. NC2-TR-2000-067, 2000
Construction of visual secret sharing schemes
with almost optimal contrast. [view abstract]
C. Kuhlmann and H. U. Simon
Proceedings of the 11th Annual ACM-SIAM Symposium on Discrete Algorithms,
pages 262-272, 2000.
View abstract.
On Teaching and Learning Intersection-Closed
Concept Classes C. Kuhlmann
Computational Learning Theory, 4th European Conference, EuroCOLT '99, Nordkirchen,
Germany, March 29-31,1999, Proceedings, Lecture Notes in Computer Science,
Vol. 1572, p. 168-182, Springer, 1999
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paper.
Structural Results about Exact Learning
with Unspecified Attribute Values A. Birkendorf, N. Klasner, C. Kuhlmann, and H. U. Simon
Proceedings of the 11th COLT, pages 144-153, July 1998.
Journal of Computer and System Sciences 60(2) p. 258-277, 2000.
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paper, download full
paper (Bericht Nr. 230, Ruhr-Universität Bochum, Fakultät
für Mathematik, February 1998)
