Comparing decomposition methods for classification

4th International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies, KES 2000 - Proceedings

Volumn 2, Issue , 2000, Pages 788-791

  Masulli, Francesco ^a   Valentini, Giorgio ^a  

^a UNIVERSITY OF GENOA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

SUPPORT VECTOR MACHINES; CLASSIFICATION (OF INFORMATION); CODES (SYMBOLS); DATABASE SYSTEMS; ERROR CORRECTION; NEURAL NETWORKS;

CODE DECOMPOSITIONS; DECOMPOSITION APPROACH; DECOMPOSITION METHODS; ERROR-CORRECTING OUTPUT CODES; EXPERIMENTAL COMPARISON; GENERALIZATION CAPABILITY; LEARNING MACHINES; MULTICLASS CLASSIFICATION PROBLEMS; MULTILAYERS PERCEPTRONS; SUPPORT VECTORS MACHINE;

SIGNAL PROCESSING; LEARNING SYSTEMS;

CORRECTING CLASSIFIERS; DECOMPOSITION METHODS;

EID: 0033652536     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/KES.2000.884164     Document Type: Conference Paper

References (8)

1. T. Dietterich and G. Bakiri. Solving multiclass learning problems via error-correcting output codes. Journal of Artificial Intelligence Research, (2):263-286, 1995.
2. T.G. Dietterich. Approximate statistical test for comparing supervised classification learning algorithms. Neural Computation, 7 (10):1895-1924, 1998.
3. E. Kong and T. Dietterich. Error-correcting output coding correct bias and variance. In The XII International Conference on Machine Learning, pages 313-321, San Francisco, CA, 1995. Morgan Kauffman.
4. F. Masulli and G. Valentini. Effectiveness of error correcting output codes in multiclass learning problems. In Proceedings of MCS'2000, First International Workshop on Multiple Classifier Systems, Cagliari, Italy, (in press).
5. E. Mayoraz and M. Moreira. On the decomposition of polychotomies into dichotomies. In The XIV International Conference on Machine Learning, pages 219-226, Nashville, TN, July 1997.
6. C.J. Merz and P.M. Murphy. UCI repository of machine learning d a t a b a s e s, 1998. www.ics.uci.edu/mlearn/MLRepository.html.
7. M. Moreira and E. Mayoraz. Improved pairwise coupling classifiers with correcting classifiers. In Tenth European Conference on Machine Learning, Chemnitz, Germany, April 1998.
8. T. J. Sejnowski and C. R. Hosenberg. Parallel networks that learn to pronounce english text. Journal of Artificial Intelligence Research, (1):145-168, 1987.