Experiments on solving multiclass learning problems by n2-classifier

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

Volumn 1398, Issue , 1998, Pages 172-177

  Jelonek, Jacek ^a   Stefanowski, Jerzy ^a  

^a POZNAN UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION TREES; MACHINE LEARNING; TREES (MATHEMATICS);

BINARY CLASSIFIERS; CLASSIFICATION PERFORMANCE; COMPUTATIONAL EXPERIMENT; FINAL DECISION; INSTANCE BASED LEARNING; MULTI-CLASS LEARNING;

LEARNING ALGORITHMS;

EID: 84957093755     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0026687     Document Type: Conference Paper

References (10)

1. Aha D.W., Kibler E., Albert M.K.: Instance-based learning algorithms. Machine Learning, 6, (1991) 37-66.
2. Cestnik, B., Kononenko, I., Bratko, I.: Assistant 86, a knowledge elicitation tool for sophisticated users. In Bratko I., Lavrac N. (eds.) Progress in Machine Learning, Sigma Press, Wilmshow, (1987) 31-45.
3. Chan, P.K., Stolfo, S.J.: Experiments on multistrategy learning by meta- learning. In Proceedings of the Second International Conference on Information and Knowledge Management, (1993) 314-323.
4. Dietterich, T.G., Bakiri, G.: Solving muliclass learning problems via error- correcting output codes. Journal of Artificial Intelligence Research, 2, (1995) 263-286.
5. Friedman, J.H.: Another approach to polychotomous classification, Technical Report, Stanford University, 1996.
6. Hastie, T., Tibshirani R.: Classification by pairwise coupling, Proc. NIPS97.
7. 2-classifier to solve multiclass learning problems. Technical Report, Poznan University of Techonology 1997.
8. Mayoraz, E., Moreira, M.: On the decomposition of polychotomies into dichotomies, Proc. 14th Int. Conf. Machine Learning, July 1997, 219-226.
9. Murphy, P.M., Aha, D.W.: Repository of Machine Learning. University of California at Irvine. [URL: http://www.ics.uci.edu/ mlearn/MLRepositoru.html].
10. Schapire, R.E. Using output codes to boost multiclass learning problems. In Proceedings of the 14th International Machine Learning Conference (1997).