메뉴 건너뛰기




Volumn 69, Issue 1-3, 2005, Pages 3-17

Loss functions to combine learning and decision in multiclass problems

Author keywords

Asymmetric classification problems; Learning objective functions; Local estimation; Posterior class probabilities

Indexed keywords

DECISION THEORY; LEARNING ALGORITHMS; LEARNING SYSTEMS; MATRIX ALGEBRA; OPTIMIZATION; PROBABILITY; RANDOM PROCESSES;

EID: 27844489518     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2005.02.011     Document Type: Article
Times cited : (6)

References (22)
  • 1
    • 0032669466 scopus 로고    scopus 로고
    • Growing mixtures network for classification applications
    • J. Alba L. Docío D. Docampo O. Márquez Growing mixtures network for classification applications Signal Process. 76 1 1999 43-60
    • (1999) Signal Process. , vol.76 , Issue.1 , pp. 43-60
    • Alba, J.1    Docío, L.2    Docampo, D.3    Márquez, O.4
  • 2
    • 27844584365 scopus 로고    scopus 로고
    • Designing neural networks to estimate posterior class probabilities
    • The Fourth World Multiconference on Systemics, Cybernetics and Informatics and the Sixth International Conference on Information Systems Analysis and Synthesis Orlando, USA
    • J. Arribas J. Cid-Sueiro Designing neural networks to estimate posterior class probabilities, in: The Fourth World Multiconference on Systemics, Cybernetics and Informatics and the Sixth International Conference on Information Systems Analysis and Synthesis Orlando, USA 2000
    • (2000)
    • Arribas, J.1    Cid-Sueiro, J.2
  • 5
    • 0035330125 scopus 로고    scopus 로고
    • On the structure of strict sense bayesian cost functions and its applications
    • J. Cid-Sueiro, A. Figueiras-Vidal, On the structure of strict sense bayesian cost functions and its applications, IEEE Trans. Neural Networks 12(3) (2001).
    • (2001) IEEE Trans. Neural Networks , vol.12 , Issue.3
    • Cid-Sueiro, J.1    Figueiras-Vidal, A.2
  • 6
    • 0035576073 scopus 로고    scopus 로고
    • Satured perceptrons for maximum margin and minimum misclassification error
    • J. Cid-Sueiro J. Sancho-Gómez Satured perceptrons for maximum margin and minimum misclassification error Neural Process. Lett. 14 2001 217-226
    • (2001) Neural Process. Lett. , vol.14 , pp. 217-226
    • Cid-Sueiro, J.1    Sancho-Gómez, J.2
  • 7
    • 0017994571 scopus 로고
    • Learning algorithms for non-parametric solution to be minimum error classification problem
    • H. Do-Tu M. Installe Learning algorithms for non-parametric solution to be minimum error classification problem IEEE Trans. Comput. 27 7 1978 648-659
    • (1978) IEEE Trans. Comput. , vol.27 , Issue.7 , pp. 648-659
    • Do-Tu, H.1    Installe, M.2
  • 10
    • 0026982122 scopus 로고
    • Discriminative learning for minimum error classification
    • B. Juang S. Katagiri Discriminative learning for minimum error classification IEEE Trans. Signal Process. 40 12 1992 3043-3054
    • (1992) IEEE Trans. Signal Process. , vol.40 , Issue.12 , pp. 3043-3054
    • Juang, B.1    Katagiri, S.2
  • 16
    • 0032029282 scopus 로고    scopus 로고
    • Evolution and generalization of a single neurone I. Single layer perceptron as seven statistical classifiers
    • S. Raudys Evolution and generalization of a single neurone I. Single layer perceptron as seven statistical classifiers Neural Networks 11 1998 283-296
    • (1998) Neural Networks , vol.11 , pp. 283-296
    • Raudys, S.1
  • 17
    • 0032029243 scopus 로고    scopus 로고
    • Evolution and generalization of a single neurone II. Complexity of statistical classifiers and sample size considerations
    • S. Raudys Evolution and generalization of a single neurone II. Complexity of statistical classifiers and sample size considerations Neural Networks 11 1998 297-313
    • (1998) Neural Networks , vol.11 , pp. 297-313
    • Raudys, S.1
  • 18
    • 0001595997 scopus 로고
    • Neural network classifiers estimate Bayesian a posteriori probabilities
    • M. Richard R. Lippmann Neural network classifiers estimate Bayesian a posteriori probabilities Neural Comput. 3 4 1991 461-483
    • (1991) Neural Comput. , vol.3 , Issue.4 , pp. 461-483
    • Richard, M.1    Lippmann, R.2
  • 19
    • 0025670892 scopus 로고
    • The multilayer perceptron as an approximation to a bayes optimal discriminant function
    • D. Ruck S. Rogers M. Kabrisky M. Oxley B. Suter The multilayer perceptron as an approximation to a bayes optimal discriminant function IEEE Trans. Neural Networks 1 4 1990 296-298
    • (1990) IEEE Trans. Neural Networks , vol.1 , Issue.4 , pp. 296-298
    • Ruck, D.1    Rogers, S.2    Kabrisky, M.3    Oxley, M.4    Suter, B.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.