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Volumn 30, Issue 4, 2008, Pages 658-669

Between classification-error approximation and weighted least-squares learning

Author keywords

Classification error rate; Discriminant functions; Pattern classification; Polynomials and machine learning

Indexed keywords

APPROXIMATION ALGORITHMS; COST FUNCTIONS; DISCRIMINANT ANALYSIS; ERROR ANALYSIS; LEAST SQUARES APPROXIMATIONS; PATTERN RECOGNITION;

EID: 42449128431     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2007.70730     Document Type: Article
Times cited : (72)

References (28)
  • 4
    • 1842420581 scopus 로고    scopus 로고
    • General Conditions for Predictivity in Learning Theory
    • Mar
    • T. Poggio, R. Rifkin, S. Mukherjee, and P. Niyogi, "General Conditions for Predictivity in Learning Theory," Nature, vol. 428, pp. 419-422, Mar. 2004.
    • (2004) Nature , vol.428 , pp. 419-422
    • Poggio, T.1    Rifkin, R.2    Mukherjee, S.3    Niyogi, P.4
  • 5
    • 0034296402 scopus 로고    scopus 로고
    • Generalized Discriminant Analysis Using a Kernel Approach
    • G. Baudat and F. Anouar, "Generalized Discriminant Analysis Using a Kernel Approach," Neural Computation, vol. 12, pp. 2385-2404, 2000.
    • (2000) Neural Computation , vol.12 , pp. 2385-2404
    • Baudat, G.1    Anouar, F.2
  • 6
    • 0037276932 scopus 로고    scopus 로고
    • Face Recognition Using Kernel Direct Discriminant Analysis Algorithms
    • J. Lu, K.N. Plataniotis, and A.N. Venetsanopoulos, "Face Recognition Using Kernel Direct Discriminant Analysis Algorithms," IEEE Trans. Neural Networks, vol. 14, no. 1, pp. 117-126, 2003.
    • (2003) IEEE Trans. Neural Networks , vol.14 , Issue.1 , pp. 117-126
    • Lu, J.1    Plataniotis, K.N.2    Venetsanopoulos, A.N.3
  • 9
    • 42449129053 scopus 로고    scopus 로고
    • E.E. Osuna, R. Freund, and F. Girosi, Support Vector Machines: Training and Applications, Technical Report: A.I. Memo No. 1602, C.B.C.L. Paper No. 144, MIT Artificial Intelligence Laboratory and CBCL Dept. of Brain and Cognitive Sciences, 1997.
    • E.E. Osuna, R. Freund, and F. Girosi, "Support Vector Machines: Training and Applications," Technical Report: A.I. Memo No. 1602, C.B.C.L. Paper No. 144, MIT Artificial Intelligence Laboratory and CBCL Dept. of Brain and Cognitive Sciences, 1997.
  • 10
    • 27144489164 scopus 로고    scopus 로고
    • A Tutorial on Support Vector Machines for Pattern Recognition
    • C.J.C. Burges, "A Tutorial on Support Vector Machines for Pattern Recognition," Data Mining and Knowledge Discovery, vol. 2, no. 2, pp. 121-167, 1998.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 121-167
    • Burges, C.J.C.1
  • 12
    • 0346055234 scopus 로고    scopus 로고
    • Discriminative Training for Concatenative Speech Synthesis
    • N.S. Kim and S.S. Park, "Discriminative Training for Concatenative Speech Synthesis," IEEE Signal Processing Letters, vol. 11, no. 1, pp. 40-43, 2004.
    • (2004) IEEE Signal Processing Letters , vol.11 , Issue.1 , pp. 40-43
    • Kim, N.S.1    Park, S.S.2
  • 13
    • 33745441796 scopus 로고    scopus 로고
    • Classification-Based Objective Functions
    • M. Rimer and T. Martinez, "Classification-Based Objective Functions," Machine Learning, vol. 63, no. 2, pp. 183-205, 2006.
    • (2006) Machine Learning , vol.63 , Issue.2 , pp. 183-205
    • Rimer, M.1    Martinez, T.2
  • 15
    • 0025490985 scopus 로고
    • Networks for Approximation and Learning
    • T. Poggio and F. Girosi, "Networks for Approximation and Learning," Proc. IEEE, vol. 78, no. 9, pp. 1481-1497, 1990.
    • (1990) Proc. IEEE , vol.78 , Issue.9 , pp. 1481-1497
    • Poggio, T.1    Girosi, F.2
  • 24
    • 58149321460 scopus 로고
    • Boosting a Weak Learning Algorithm by Majority
    • Y. Freund, "Boosting a Weak Learning Algorithm by Majority," Information and Computation, vol. 121, pp. 256-285, 1995.
    • (1995) Information and Computation , vol.121 , pp. 256-285
    • Freund, Y.1
  • 25
    • 33749012588 scopus 로고    scopus 로고
    • Training a Reciprocal-Sigmoid Classifier by Feature Scaling-Space
    • K.-A. Toh, "Training a Reciprocal-Sigmoid Classifier by Feature Scaling-Space," Machine Learning, vol. 65, no. 1, pp. 273-308, 2006.
    • (2006) Machine Learning , vol.65 , Issue.1 , pp. 273-308
    • Toh, K.-A.1
  • 27
    • 0034274591 scopus 로고    scopus 로고
    • A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms
    • T.-S. Lim, W.-Y. Loh, and Y.-S. Shil, "A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms," Machine Learning, vol. 40, no. 3, pp. 203-228, 2000.
    • (2000) Machine Learning , vol.40 , Issue.3 , pp. 203-228
    • Lim, T.-S.1    Loh, W.-Y.2    Shil, Y.-S.3
  • 28
    • 1242352538 scopus 로고    scopus 로고
    • DeEPs: A New Instance-Based Lazy Discovery and Classification System
    • J. Li, G. Dong, K. Ramamohanarao, and L. Wong, "DeEPs: A New Instance-Based Lazy Discovery and Classification System," Machine Learning, vol. 54, no. 2, pp. 99-124, 2004.
    • (2004) Machine Learning , vol.54 , Issue.2 , pp. 99-124
    • Li, J.1    Dong, G.2    Ramamohanarao, K.3    Wong, L.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.