메뉴 건너뛰기




Volumn 1998, Issue , 1998, Pages 17-22

A mutual information based ensemble method to estimate Bayes error

Author keywords

[No Author keywords available]

Indexed keywords

BAYES ERROR ESTIMATION; ERROR CORRELATION; UNDERWATER ACOUSTIC DATA;

EID: 0032295504     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article
Times cited : (5)

References (16)
  • 1
    • 0028468293 scopus 로고
    • Using mutual information for selecting features in supervised neural net learning
    • Battiti, R. (1994). Using mutual information for selecting features in supervised neural net learning. IEEE Transactions an Neural Networks, 5:4:537-550.
    • (1994) IEEE Transactions An Neural Networks , vol.5 , Issue.4 , pp. 537-550
    • Battiti, R.1
  • 3
    • 0027574734 scopus 로고
    • Improving k-nearest neighbor density and error estimates
    • Buturović, L. J. (1993). Improving k-nearest neighbor density and error estimates. Pattern Recognition, 26(4):611-616.
    • (1993) Pattern Recognition , vol.26 , Issue.4 , pp. 611-616
    • Buturović, L.J.1
  • 7
  • 8
    • 34548696055 scopus 로고
    • Independent coordinates for strange attractors from mutual information
    • Fraser, A. M. and Swinney, H. L. (1986). Independent coordinates for strange attractors from mutual information. Physical Review A, 33:1134-1140.
    • (1986) Physical Review A , vol.33 , pp. 1134-1140
    • Fraser, A.M.1    Swinney, H.L.2
  • 9
    • 0038800233 scopus 로고
    • The estimation of the Bayes error by the k-nearest neighbor approach
    • Kanal, L. N. and Rosenfeld, A., editors, North-Holland, Amsterdam
    • Fukunaga, K. (1985). The estimation of the Bayes error by the k-nearest neighbor approach. In Kanal, L. N. and Rosenfeld, A., editors, Progress in Pattern Recognition 2, pages 169-187. North-Holland, Amsterdam.
    • (1985) Progress in Pattern Recognition 2 , pp. 169-187
    • Fukunaga, K.1
  • 11
    • 0023983164 scopus 로고
    • Bounds on the Bayes classification error based on pairwisc risk functions
    • Garber, F. and Djouadi, A. (1988). Bounds on the Bayes classification error based on pairwisc risk functions. IEEE Tran. on Pattern Analysis and Machine Intel., 10(3):281-288.
    • (1988) IEEE Tran. on Pattern Analysis and Machine Intel. , vol.10 , Issue.3 , pp. 281-288
    • Garber, F.1    Djouadi, A.2
  • 13
    • 0004114283 scopus 로고
    • PROBEN1 - A set of benchmarks and benchmarking rules for neural network training algorithms
    • Fakultät für Informatik, Universität Karlsruhe, D-76128 Karlsruhe, Germany
    • Prechelt, L. (1994). PROBEN1 - A set of benchmarks and benchmarking rules for neural network training algorithms. Technical Report 21/94, Fakultät für Informatik, Universität Karlsruhe, D-76128 Karlsruhe, Germany. Anonymous FTP: /pub/papers/techreports/1994/1994-21.ps.Z on ftp.ira.uka.de.
    • (1994) Technical Report 21/94
    • Prechelt, L.1
  • 16
    • 80052416258 scopus 로고    scopus 로고
    • Estimating the Bayes error rate through classifier combining
    • Vienna, Austria
    • Tumer, K. and Ghosh, J. (1996b). Estimating the Bayes error rate through classifier combining. In Proc. of the Int. Conf. on Pattern Recognition, Vienna, Austria, pages IV:695-699.
    • (1996) Proc. of the Int. Conf. on Pattern Recognition
    • Tumer, K.1    Ghosh, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.