Learning classification rules using lattices (Extended abstract)

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

Volumn 912, Issue , 1995, Pages 343-346

  Sahami, Mehran ^a  

^a STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HEURISTIC METHODS;

ALGORITHMIC FRAMEWORK; CLASSIFICATION RULES; DECISION LISTS; EXTENDED ABSTRACTS; GALOIS LATTICES; INDUCTION ALGORITHMS; LEARNING PARADIGMS; SYMBOLIC LEARNING;

MACHINE LEARNING;

EID: 84948961361     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-59286-5_83     Document Type: Conference Paper

References (11)

1. [CN, 1989] Clark, P. and Niblett, T. The CN2 Induction Algorithm. Machine Learning, 3:261-83, 1989.
2. [GA, 1987] Ganascia, J.G. CHARADE: A Rule System Learning System. In Proceedings of the Tenth IJCAI, Volume I, pp. 345-347, Milan, Italy, 1987.
3. [MC, 1969] Michalski, R.S. On the Quasi-minimal Solution of the General Covering Problem. In Proceedings of the Fifth international Symposium on Information Processing‚ pp. 125-128, Bled, Yugoslavia, 1969.
4. [MI, 1982] Mitchell, T.M. Generalization as Search. Art if. Intel., 18(2): 203-226, 1982.
5. [NI, 1992] Nilsson, N. J. N-Cube Lattices and Their Role in Machine Learning. Working paper, Department of Computer Science, Stanford University, Stanford, CA, 1992.
6. [OO, 1988] Oosthuizen, G.D. The Use of a Lattice in Knowledge Processing. PhD Thesis, University of Strathclyde, Glasgow, 1988.
7. [OO, 1994] Oosthuizen, G.D. The Application of Concept Lattices to Machine Learning. University of Pretoria Technical Report CSTR 94/01, 1994.
8. [OM, 1988] Oosthuizen, G.D. and McGregor, D.R. Induction Through Knowledge Base Normalization. Proceedings of the European Conf. on Artificial Intelligence, 1988.
9. [QU, 1993] Quinlan, J.R. 1993. C4.5: Programs For Machine Learning. San Mateo, CA: Morgan Kaufmann.
10. [RI, 1987] Rivest, R.L. Learning Decision Lists. Machine Learning, 2:229-246, 1987.
11. [TH, 1991] Thrun, S.B. et al. The MONK'S Problems. Camegie-Mellon University Technical Report CMU-CS-91-197, December, 1991.