Normal programs and multiple predicate learning

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1446, Issue , 1998, Pages 175-184

  Fogel, Leonardo ^a   Zaverucha, Gerson ^a  

^a FEDERAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER CIRCUITS; LEARNING SYSTEMS;

INTENSIONAL SYSTEMS; LOGIC PROGRAMS; MULTIPLE PREDICATES; REFINEMENT ALGORITHMS; TOP-DOWN MANNER;

INDUCTIVE LOGIC PROGRAMMING (ILP);

EID: 84947446328     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0027321     Document Type: Conference Paper

References (13)

1. Apt, K. R. and Bol, R. N., Logic Programming and Negation: A Survey, J. Logic Programming 19, 20: 9-71 (1994).
2. Bergadano, F., Gunetti, D., Nicosia, M. and Ruffo, G., Learning Logic Programs with Negation as Failure, in: S. Muggleton (ed.), Proceedings of the 5th International Workshop on Inductive Logic Programming, 1995.
3. Džeroski, S. and Bratko, I., Handling Noise in Inductive Logic Programming, in: S. Muggleton (ed.), Proceedings of the 2nd International Workshop on Inductive Logic Programming, 1992.
4. Flach, P. A., A Framework for Inductive Logic Programming, in: S. Muggleton (ed.), Inductive Logic Programming, Academic Press, 1992, pp. 193-212.
5. Kunen, K., Signed Data Dependencies in Logic Programs, J. Logic Programming 7: 231-246 (1989).
6. Lavra, N. and Džeroski, S., Inductive Logic Programming: Techniques and Applications, Ellis Horwood, 1994.
7. Lloyd, J. W., Foundations of Logic Programming, 2nd edition, Springer, Berlin, 1987.
8. Martin, L. and Vrain, C., MULT-ICN: an Empirical Multiple Predicate Learner, in: S. Muggleton (ed.), Proceedings of the 5th International Workshop on Inductive Logic Programming, 1995.
9. Muggleton, S. and De Raedt, L., Inductive Logic Programming: Theory and Methods, J. Logic Programming 19, 20: 629-679 (1994).
10. Plotkin, G. D., A Note on Inductive Generalization, in: B. Meltzer and D. Michie (eds.), Machine Intelligence 5, Elsevier North Holland, NY, 1970, pp. 153-163.
11. De Raedt, L., Lavrae, N. and Džeroski, S., Multiple Predicate Learning, in: Proceedings of the 13th International Joint Conference on Artificial Intelligence, Morgan Kaufman, 1993, pp. 1037-1042.
12. Sato, T., Completed Logic Programs and their Consistency, J. Logic Programming 9: 33-44 (1990).
13. Shapiro, E. Y., Algorithmic Program Debugging, MIT Press, 1983.