An information theoretic perspective on multiple classifier systems

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

Volumn 5519 LNCS, Issue , 2009, Pages 344-353

  Brown, Gavin ^a  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ERRORS; ENSEMBLE SYSTEMS; LOW ORDER; MULTIPLE CLASSIFIER SYSTEMS; MULTIPLE ORDERS; MUTUAL INFORMATIONS;

INFORMATION THEORY; LEARNING SYSTEMS;

CLASSIFIERS;

EID: 70349322734     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02326-2_35     Document Type: Conference Paper

References (11)

1. Shannon, C.: A mathematical theory of communication. Bell Syst. Tech. J. 27(3), 379-423 (1948)
2. Cover, T.M., Thomas, J.A.: Elements of Information Theory. Wiley-Interscience, New York (1991)
3. MacKay, D.: Information Theory, Inference and Learning Algorithms. Cambridge University Press, Cambridge (2003)
4. Fano, R.: Transmission of Information: Statistical Theory of Communications. Wiley, New York (1961)
5. Hellman, M., Raviv, J.: Probability of error, equivocation, and the Chernoff bound. IEEE Transactions on Information Theory 16(4), 368-372 (1970)
6. McGill, W.: Multivariate information transmission. IEEE Trans. Inf. Theory 4(4), 93-111 (1954)
7. Brown, G.: A New Perspective on Information Theoretic Feature Selection. In: Proceedings of Intl. Conf. on Artificial Intelligence and Statistics (2009)
8. Kuncheva, L.: Combining Pattern Classifiers: Methods and Algorithms. Wiley-Interscience, Hoboken (2006)
9. Kuncheva, L.: That Elusive Diversity in Classifier Ensembles. In: Proc. 1st Iberian Conf. on Pattern Recognition and Image Analysis, pp. 1126-1138 (2003)
10. Tumer, K., Ghosh, J.: Error Correlation and Error Reduction in Ensemble Classifiers. Connection Science 8(3-4), 385-403 (1996)
11. Meynet, J., Thiran, J.: Information Theoretic Combination of Classifiers with Application to AdaBoost. In: Haindl, M., Kittler, J., Roli, F. (eds.) MCS 2007. LNCS, vol. 4472, pp. 171-179. Springer, Heidelberg (2007)