| Roman Englert. Inducing integrity constraints from knowledge bases. In KI95: Proc. 19. Deutsche Jahrestagung fur Kunstliche Intelligenz, Berlin, New York, Heidelberg, 1995. Springer Verlag. |
.... [47] Both Index and Claudien are based on the alternative non monotonic semantics of ILP (also a result of the ILP project [21, 35, 15, 18] In this semantics, individual clauses can be learned independently, which has been used to parallelize Claudien [16] Similarly, the ICDT system [19] is searching the space of general first order clauses, albeit using a more restricted declarative bias language and a simpler search strategy. The system includes a novel confirmation criterion that can also evaluate the degree of confirmation of headless clauses (by measuring the degree of ....
Roman Englert. Inducing integrity constraints from knowledge bases. In KI95: Proc. 19. Deutsche Jahrestagung fur Kunstliche Intelligenz, Berlin, New York, Heidelberg, 1995. Springer Verlag.
....refined taking into account properties of p graphs of buildings. A large variety of 3D building models has been extracted. Thus the computed building models require a generalization in order to be more compact. Therefore we investigate the application of Machine Learning approaches as shown in [3]. Furthermore, the computational cost of the admissible extension are huge, and hence raising the central question whether there is a structure of the search space which can be further exploited. Acknowledgments The authors like to thank W. Forstner for his discussion. Furthermore they thank J. ....
R. Englert. Inducing Integrity Constraints from Knowledge Bases. In I. Wachsmuth, C.-R. Rollinger, and W. Brauer, editors, Proceedings of the 19th Annual German Conference on Artificial Intelligence, volume 981 of Lecture Notes in Artificial Intelligence, pages 77 -- 88, Berlin, Germany, 1995. Springer.
....too. These statistical analyses are depicted in (Englert and Cremers 1997) In addition, a grouping of computed maximal parts of roofs by using enhanced criteria will be instrumental to receive further insights of their characteristics and thus enable one to analyze the structure of buildings (Englert 1995). Acknowledgments The inspirations from Prof. Dr. Armin B. Cremers and Prof. Dr. Ing. Wolfgang Forstner are gratefully acknowledged. The author likes also to thank E. Gulch (Institute of Photogrammetry, Bonn) R. Fischer, and G. Groger for their invaluable discussions. This research is ....
Englert R. (1995) Inducing Integrity Constraints from Knowledge Bases, in I. Wachsmuth, C.-R. Rollinger, W. Brauer (eds), Proc. 19th Annual German Conference on Artificial Intelligence, Springer Verlag, Berlin, Germany, pp. 77 -- 88.
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