Learning linear constraints in inductive logic programming

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

Volumn 1224, Issue , 1997, Pages 162-169

  Martin, Lionel ^a   Vrain, Christel ^a  

^a UNIVERSITÉ D'ORLÉANS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; COMPUTER CIRCUITS; COMPUTER PROGRAMMING LANGUAGES; DECISION THEORY; DECISION TREES; LINEAR PROGRAMMING; MACHINE LEARNING;

COMPUTATION DOMAINS; CONSTRAINT LOGIC PROGRAMMING; FUNCTION SYMBOLS; LINEAR CONSTRAINTS; LINEAR PROGRAMMING SOLVERS; LOGIC PROGRAMS; NON-LINEAR CONSTRAINTS; STATISTICAL LEARNING THEORY;

INDUCTIVE LOGIC PROGRAMMING (ILP);

EID: 84864781052     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-62858-4_81     Document Type: Conference Paper

References (12)

1. Breiman, Friedman, Olshem, Stone, 1993. Classification of Regression Trees. Chapman & Hall.
2. Bergère M., Ferrand G., Le Berre F., Malfon B., Tessier A., 1995. La programmation logique avec contraintes revisitée en termes d’arbres de preuve et de squelettes. Rapport de recherche 95-06, LIFO, universit6 d’Orléans.
3. Chvdtal V., 1983. Linear Programming. Freeman.
4. Ittner A., Schlosser M., 1996. Non-Linear Decision Trees-NDT. Proceedings of the 13th International Conference on Machine Learning (ICML 96), L. Saitta (Ed.), Bari, Italy.
5. Jaffar J., Maher M. J., 1994. Constraint Logic Programming: A Survey. Jal of Logic Programming, vol. 19/20, may/july 1994, pp. 503-581, Elsevier Science Publishing.
6. Martin L., Vrain Ch., 1996. Induction of contraint logic programs. Proceedings of the Algorithmic Learning Theory workshop, ALT 96, Sidney, Australia.
7. Muggleton S., Feng C., 1992. Efficient Induction of Logic Programs. Inductive Logic programming. The A. P. I. C. Series No. 38, S. Muggleton (Ed.), Academic Press. pp. 281-298.
8. Mizoguchi F., Ohwada H., 1995. An Inductive Logic Programming Approach to Constraint Acquisition for Constraint-based Problem Solving. Proc. of the 5th Intl Workshop on Inductive Logic Programming, L. De Raedt (Ed.), pp. 297-323.
9. Murthy S., Kaisf S., Salzberg S., Beigel R., 1993. OCI: Randomized Induction of Oblique Decision Trees. Proceedings of the 11th National Conference on AI, AAAI-93, Cambridge, MIT Press, pp. 323-327
10. Qninlan J. R., 1990. Learning Logical Definitions from Relations. Machine Learning Journal, Vol. 5, Kluwer Academic Publishers, pp. 239-266.
11. Rouveirol C., Sebag M., 1995. Constraint Inductive Logic Programming. Proc. of the Fifth International Workshop on Inductive Logic Programming, L. De Raedt (Ed.), Leuven, September 1995, pp. 181-198.
12. Vapnik V. N., 1995. The Nature of Statistical Learning Theory. Springer.