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Volumn 4492 LNCS, Issue PART 2, 2007, Pages 664-670

Unbiased linear neural-based fusion with normalized weighted average algorithm for regression

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; DATA FUSION; ERROR DETECTION; MEAN SQUARE ERROR; PROBLEM SOLVING; REGRESSION ANALYSIS;

EID: 37249089494     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-72393-6_79     Document Type: Conference Paper
Times cited : (6)

References (18)
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    • A Decision-Theoretic Generalization of On-line Learning and an Application to Boosting
    • Freund, Y., Schapire, R.E.: A Decision-Theoretic Generalization of On-line Learning and an Application to Boosting. Journal of Computer and System Sciences 55 (1997) 119-139
    • (1997) Journal of Computer and System Sciences , vol.55 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 6
    • 0030211964 scopus 로고    scopus 로고
    • Bagging Predictors
    • Breiman, L.: Bagging Predictors. Machine Learning 24 (1996) 123-140
    • (1996) Machine Learning , vol.24 , pp. 123-140
    • Breiman, L.1
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    • 0025448521 scopus 로고
    • The Strength of Weak Learnability
    • Schapire, R.E.: The Strength of Weak Learnability. Machine Learning 5 (1990) 197-227
    • (1990) Machine Learning , vol.5 , pp. 197-227
    • Schapire, R.E.1
  • 10
    • 21244501361 scopus 로고    scopus 로고
    • A Theoretical and Experimental Analysis of Linear Combiners for Multiple Classifier Systems
    • Fumera, G., Roli, F.: A Theoretical and Experimental Analysis of Linear Combiners for Multiple Classifier Systems. IEEE Transactions on Pattern Analysis and Machine Intelligence 27 (2005) 942-956
    • (2005) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.27 , pp. 942-956
    • Fumera, G.1    Roli, F.2
  • 11
    • 0030085913 scopus 로고    scopus 로고
    • Analysis of Decision Boundaries in Linearly Combined Neural Classifiers
    • Turner, K., Ghosh, J.: Analysis of Decision Boundaries in Linearly Combined Neural Classifiers. Pattern Recognition 29 (1996) 341-348
    • (1996) Pattern Recognition , vol.29 , pp. 341-348
    • Turner, K.1    Ghosh, J.2
  • 13
    • 33750700449 scopus 로고    scopus 로고
    • Breast Cancer Diagnosis Using Neural-Based Linear Fusion Strategies
    • Proc. 13th Int'l Conf. Neural Information Processing
    • Wu, Y.F., Wang, C., Ng, S.C., Madabhushi, A., Zhong, Y.X.: Breast Cancer Diagnosis Using Neural-Based Linear Fusion Strategies. Proc. 13th Int'l Conf. Neural Information Processing, Lecture Notes in Computer Science 4234 (2006) 165-175
    • (2006) Lecture Notes in Computer Science , vol.4234 , pp. 165-175
    • Wu, Y.F.1    Wang, C.2    Ng, S.C.3    Madabhushi, A.4    Zhong, Y.X.5
  • 15
    • 34547591932 scopus 로고    scopus 로고
    • Bagging.LMS: A Baggging-Based Linear Fusion with Least-Mean-Square Error Update for Regression
    • Wu, Y.F., Wang, C., Ng, S.C.: Bagging.LMS: A Baggging-Based Linear Fusion with Least-Mean-Square Error Update for Regression. Proc. 2006 IEEE Region 10 Conf. (2006) 393-396
    • (2006) Proc. 2006 IEEE Region 10 Conf , pp. 393-396
    • Wu, Y.F.1    Wang, C.2    Ng, S.C.3
  • 16
    • 0036567392 scopus 로고    scopus 로고
    • Ensembling Neural Networks: Many Could Be Better than All
    • Zhou, Z.H., Wu, J. Tang, W.: Ensembling Neural Networks: Many Could Be Better than All. Artificial Intelligence 137 (2002) 239-263
    • (2002) Artificial Intelligence , vol.137 , pp. 239-263
    • Zhou, Z.H.1    Wu, J.2    Tang, W.3
  • 17
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    • A Note on Computing Robust Regression Estimates via Iteratively Reweighted Least Squares
    • Street, J.O., Carroll, R.J., Ruppert, D.: A Note on Computing Robust Regression Estimates via Iteratively Reweighted Least Squares. The American Statistician 42 (1988) 152-154
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    • Street, J.O.1    Carroll, R.J.2    Ruppert, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.