Feature transformation by function decomposition

IEEE Intelligent Systems and Their Applications

Volumn 13, Issue 2, 1998, Pages 38-43

  Zupan, Blaz ^a,b,c   Bohanec, Marko ^a,b,d   Demsar, Janez ^b   Bratko, Ivan ^a,b,e  

^a JO EF STEFAN INSTITUTE   (Slovenia)

^b UNIVERSITY OF LJUBLJANA   (Slovenia)

^c UNIVERSITY OF HOUSTON   (United States)

^d UNIVERSITY OF MARIBOR   (Slovenia)

^e J Stefan Inst ^*  (Slovenia)

Author keywords

[No Author keywords available]

Indexed keywords

HIERARCHICAL SYSTEMS;

FEATURE TRANSFORMATION; FUNCTION DECOMPOSITION;

ARTIFICIAL INTELLIGENCE;

EID: 0032025354     PISSN: 10947167     EISSN: None     Source Type: Journal    
DOI: 10.1109/5254.671090     Document Type: Article

References (6)

1. B. Zupan et al., Machine Learning by Function Decomposition," Proc. 14th Int'l Conf. Machine Learning, Morgan Kaufmann, San Francisco, 1997, pp. 421-429.
2. B. Zupan, Machine Learning Based on Function Decomposition. PhD thesis, Univ. of Ljubljana, Faculty for Computer and Information Sciences. 1997; http://www-ai.ijs.si/ BlazZupan/papers.html.
3. T.D. Ross et al., "Pattern Theoretic Feature Extraction and Constructive Induction." working notes of the ML-COLT '94 Workshop on Constructive Induction ana Change of Representation, 1994; http://cobar.cs. umass. edu/mlc94/CICR.html.
4. I. Kononenko, "Estimating Attributes." Proc. European Conf. Machine Learning (ECML-94). Lecture Notes in Artificial intelligence, Vol. 784, Springer-Verlag, Berlin, 1994, pp. 171-182.
5. S.B. Thrun et al., A Performance Comparison of Different Learning Algorithms, Tech. Report CMU-CS-91-197. Computer Science Dept., Carnegie Mellon Univ., Pittsburgh, 1991.
6. J.R. Quinlan, C4.5: Programs for Machine Learning, Morgan Kaufmann, 1993.