Learning Disjunctive Concepts by Means of Genetic Algorithms

Proceedings of the 11th International Conference on Machine Learning, ICML 1994

Volumn , Issue , 1994, Pages 96-104

  Giordana, Attilio ^a   Saitta, Lorenza ^b   Zini, Floriano ^b  

^a UNIVERSITY OF TURIN   (Italy)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

FORMAL LOGIC; LEARNING ALGORITHMS; MACHINE LEARNING;

CONCEPT DESCRIPTION; DISTRIBUTED GENETIC ALGORITHMS; FIRST ORDER LOGIC; FORMAL ANALYSIS; GENERAL SOLUTIONS; GENERALISATION; GENERALIZATION CAPABILITY; GENERALIZATION PROCESS; SELECTION ALGORITHM; SELECTION OPERATORS;

GENETIC ALGORITHMS;

EID: 33747447385     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/B978-1-55860-335-6.50020-9     Document Type: Conference Paper

References (12)

1. Goldberg D.E. (1989b). "Sizing Populations for Serial and Parallel Genetic Algorithms", Proc. 3rd Int. Conf. on Genetic Algorithms (Fairfax, VA), pp. 70-79.
2. Goldberg D.E. and Richardson J. (1987). "Genetic Algorithms with Sharing for Multimodal Function Optimization", Proc. 2nd Int. Conf. on Genetic Algorithms (Cambridge, MA), pp. 41-49.
3. Greene D.P. and Smith S.F., "Competition-Based Induction of Decision Models from Examples", Machine Learning, 1 3, 229-258.
4. Janikov C.Z. (1991). "A New System for Inductive Learning in Attribute-Based Spaces", Lecture Notes in Artificial Intelligence, 542, 378-388.
5. Janikov C.Z. (1993). "A Knowledge Intensive Genetic Algorithm for supervised Learning", Machine Learning, 13,198-228.
6. Holland J.H. (1986). "Escaping Brittleness: The Possibilities of General Purpose Learning Algorithms Applied to Parallel Rule-Based Systems". In R. Michalski, J. Carbonell & T. Mitchell (Eds.), Machine Learning: An Al Approach, Vol. II. Morgan Kaufmann (Los Altos, CA), pp. 593-623.
7. Holte R., Acker L and Porter B. (1989). "Concept Learning and the Problem of Small Disjuncts". Proc. IJCAI-89 (Detroit, MI).
8. Michalski R. (1983). "A Theory and Methodology of Inductive Learning". In R. Michalski, J. Carbonell & T. Mitchell (Eds.), Machine Learning: An Al Approach, Vol. I. Morgan Kaufmann (Los Altos, CA), pp. 83-134.
9. Pettey C.C. and Leuze M.R. (1989). "A Theoretical investigation of a Parallel Genetic Algorithm", Proc. 3rd Int. Conf. on Genetic Algorithms (Fairfax, VA), pp. 398-405.
10. Saitta L. and Giordana A. (1994). "Formal Models of Selection in Genetic Algorithms", TR 94-3, Dip. Informatica, Univ. of Torino (Torino, Italy).
11. Vafaie H. and De Jong K.A. (1991). "Improving the Performance of Rule Induction System Using Genetic Algorithms", Proc. First International Workshop on Multistrategy Learning, (Harpers Ferry, VA), pp. 305-315.
12. Venturini G. (1993) "SIA: a Supervised Inductive Algorithm with Genetic Search for Learning Attribute Based Concepts", Proc.European Conference on Machine Learning (Vienna, A), pp. 280-296.