Die Themen behandeln
zu 1.: | M. Koubarakis: "From local to global
consistency in temporal constraint networks", Theoretical Computer
Science 173 (1997), S. 89 - 112. G. Schmitt, H. Noltemeier, M. Widera: "Inkrementelle Temporale Constraint-Propagierung", KI, Special Issue Constraints, März 1997. |
zu 2.: | Hans Ulrich Simon: "Tutorial on the
PAC-learning Model", Dezember 1996, Technical Report. |
zu 3.: | Katharina Morik: "Knowledge Discovery in
Databases and Inductive Logic Programming Approach", Lecture Notes in
Computer Sciences, vol. 1337, 1997. S 429-436 Alan Hutchinson: "Algorithmic Learning - Graduate Texts in Computer Sciences ·2". Oxford, 1995: Kap. 7.1 - 7.3. |
zu 4.: | M. Grigni, V. Mirelli,
C. H. Papadimitriou: "On the Difficulty of Designing Good
Classifiers'' Lecture Notes in Computer Sciences, vol. 1090, 1996. Ming Li, Paul Vitányi: "Computational Machine Learning in Theory and Praxis", Lecture Notes in Computer Sciences, vol. 1000, 1995, S. 518 - 535. |
zu 5.: | M. Duque-Antón: "Constructing
efficient simulated annealing algarithms", Discrete Applied
Mathematics 77 (1997), S. 139-159. R. Diekmann, R. Lüling, J. Simon: "A General Purpose Distributed Implementation of Simulated Annealing", IEEE Parallel & Distributed Processing, Washington Dec. 1992, S. 94 - 101. |