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Volumn 1, Issue , 2003, Pages 218-225

Perceptron Based Learning with Example Dependent and Noisy Costs

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; CLASSIFIERS; COST ACCOUNTING; LEARNING SYSTEMS; MATRIX ALGEBRA; NEURAL NETWORKS; PREDICTIVE CONTROL SYSTEMS; PROBABILITY DISTRIBUTIONS; REGRESSION ANALYSIS;

EID: 1942517291     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (12)

References (17)
  • 1
    • 85083464467 scopus 로고    scopus 로고
    • Toward scalable learning with non-uniform class and cost distributions: A case study in credit card fraud detection
    • Chan, P. K., & Stolfo, S. J. (1998). Toward scalable learning with non-uniform class and cost distributions: A case study in credit card fraud detection. Knowledge Discovery and Data Mining (Proc. KDD98) (pp. 164-168).
    • (1998) Knowledge Discovery and Data Mining (Proc. KDD98) , pp. 164-168
    • Chan, P.K.1    Stolfo, S.J.2
  • 2
    • 0003859933 scopus 로고
    • Canadian Math. Soc. Series of Monographs and Advanced Texts. John Wiley & Sons
    • Clarke, F. H. (1983). Optimization and nonsmooth analysis. Canadian Math. Soc. Series of Monographs and Advanced Texts. John Wiley & Sons.
    • (1983) Optimization and Nonsmooth Analysis
    • Clarke, F.H.1
  • 9
    • 0001845032 scopus 로고    scopus 로고
    • Bootstrap methods for the cost-sensitive evaluation of classifiers
    • Morgan Kaufmann, San Francisco, CA
    • Margineantu, D. D., & Dietterich, T. G. (2000). Bootstrap methods for the cost-sensitive evaluation of classifiers. Proc. 17th International Conf. on Machine Learning (pp. 583-590). Morgan Kaufmann, San Francisco, CA.
    • (2000) Proc. 17th International Conf. on Machine Learning , pp. 583-590
    • Margineantu, D.D.1    Dietterich, T.G.2
  • 11
    • 0036342213 scopus 로고    scopus 로고
    • Incremental sub-gradient methods for nondifferentiable optimization
    • Nedic, A., & Bertsekas, D. (2001). Incremental sub-gradient methods for nondifferentiable optimization. SIAM Journal on Optimization, 109-138.
    • (2001) SIAM Journal on Optimization , pp. 109-138
    • Nedic, A.1    Bertsekas, D.2
  • 12
    • 1942450693 scopus 로고    scopus 로고
    • Dipol - A hybrid piecewise linear classifier
    • R. Nakeiazadeh and C. C. Taylor (Eds.), Wiley
    • Schulmeister, B., & Wysotzki, F. (1997). Dipol - a hybrid piecewise linear classifier. In R. Nakeiazadeh and C. C. Taylor (Eds.), Machine learning and statistics: The interface, 133-151. Wiley.
    • (1997) Machine Learning and Statistics: The interface , pp. 133-151
    • Schulmeister, B.1    Wysotzki, F.2
  • 15
    • 1942483186 scopus 로고    scopus 로고
    • Automatic construction of decision trees and neural nets for classification using statistical considerations
    • G. DellaRiccia, H.-J. Lenz and R. Kruse (Eds.), no. 382 in CISM Courses and Lectures. Springer
    • Wysotzki, F., Müller, W., & Schulmeister, B. (1997). Automatic construction of decision trees and neural nets for classification using statistical considerations. In G. DellaRiccia, H.-J. Lenz and R. Kruse (Eds.), Learning, networks and statistics, no. 382 in CISM Courses and Lectures. Springer.
    • (1997) Learning, Networks and Statistics
    • Wysotzki, F.1    Müller, W.2    Schulmeister, B.3
  • 16
    • 1942450696 scopus 로고    scopus 로고
    • Comparison of performance of variants of single-layer perceptron algorithms on non-separable data
    • Yang, J., Parekh, R., & Honavar, V. (2000). Comparison of performance of variants of single-layer perceptron algorithms on non-separable data. Neural, Parallel and Scientific Computation, 8, 415-438.
    • (2000) Neural, Parallel and Scientific Computation , vol.8 , pp. 415-438
    • Yang, J.1    Parekh, R.2    Honavar, V.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.