메뉴 건너뛰기




Volumn 28, Issue 6, 2013, Pages 2599-2619

Benchmarking local classification methods

Author keywords

Benchmark study; Local classification methods; Machine learning; Model selection

Indexed keywords


EID: 84888249367     PISSN: 09434062     EISSN: 16139658     Source Type: Journal    
DOI: 10.1007/s00180-013-0420-y     Document Type: Article
Times cited : (22)

References (55)
  • 1
    • 0030142134 scopus 로고    scopus 로고
    • Local linear perceptrons for classification
    • Alpaydin E, Jordan M (1996) Local linear perceptrons for classification. IEEE Trans Neural Netw 7(3): 788-792.
    • (1996) IEEE Trans Neural Netw , vol.7 , Issue.3 , pp. 788-792
    • Alpaydin, E.1    Jordan, M.2
  • 3
    • 48849102758 scopus 로고    scopus 로고
    • Adapting prediction error estimates for biased complexity selection in high-dimensional bootstrap samples
    • Article 12
    • Binder H, Schumacher M (2008) Adapting prediction error estimates for biased complexity selection in high-dimensional bootstrap samples. Stat Appl Genet Mol Biol 7(1): Article 12.
    • (2008) Stat Appl Genet Mol Biol , vol.7 , Issue.1
    • Binder, H.1    Schumacher, M.2
  • 7
    • 0033220805 scopus 로고    scopus 로고
    • On global, local, mixed and neighborhood kernels for support vector machines
    • Brailovsky V, Barzilay O, Shahave R (1999) On global, local, mixed and neighborhood kernels for support vector machines. Pattern Recognit Lett 20: 1183-1190.
    • (1999) Pattern Recognit Lett , vol.20 , pp. 1183-1190
    • Brailovsky, V.1    Barzilay, O.2    Shahave, R.3
  • 8
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman L (2001) Random forests. Mach Learn 45(1): 5-32.
    • (2001) Mach Learn , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 11
    • 77649248407 scopus 로고    scopus 로고
    • Efficient algorithm for localized support vector machine
    • Cheng H, Tan PN, Jin R (2010) Efficient algorithm for localized support vector machine. IEEE Trans Knowl Data Eng 22(4): 537-549.
    • (2010) IEEE Trans Knowl Data Eng , vol.22 , Issue.4 , pp. 537-549
    • Cheng, H.1    Tan, P.N.2    Jin, R.3
  • 18
    • 0033372875 scopus 로고    scopus 로고
    • The significance of border training patterns in classification by a feedforward neural network using back propagation learning
    • Foody G (1999) The significance of border training patterns in classification by a feedforward neural network using back propagation learning. Int J Remote Sens 20(18): 3549-3562.
    • (1999) Int J Remote Sens , vol.20 , Issue.18 , pp. 3549-3562
    • Foody, G.1
  • 21
    • 0037598692 scopus 로고    scopus 로고
    • Local versus global models for classification problems: fitting models where it matters
    • Hand DJ, Vinciotti V (2003) Local versus global models for classification problems: fitting models where it matters. Am Stat 57(2): 124-131.
    • (2003) Am Stat , vol.57 , Issue.2 , pp. 124-131
    • Hand, D.J.1    Vinciotti, V.2
  • 22
    • 0030164799 scopus 로고    scopus 로고
    • Discriminant adaptive nearest neighbor classification
    • Hastie T, Tibshirani R (1996) Discriminant adaptive nearest neighbor classification. IEEE Trans Pattern Anal Mach Intell 18(6): 607-616.
    • (1996) IEEE Trans Pattern Anal Mach Intell , vol.18 , Issue.6 , pp. 607-616
    • Hastie, T.1    Tibshirani, R.2
  • 26
    • 0141907311 scopus 로고    scopus 로고
    • Classification trees with bivariate linear discriminant node models
    • Kim H, Loh WY (2003) Classification trees with bivariate linear discriminant node models. J Comput Graph Stat 12: 512-530.
    • (2003) J Comput Graph Stat , vol.12 , pp. 512-530
    • Kim, H.1    Loh, W.Y.2
  • 31
    • 0345040873 scopus 로고    scopus 로고
    • Classification and regression by randomForest
    • Liaw A, Wiener M (2002) Classification and regression by randomForest. R News 2(3): 18-22.
    • (2002) R News , vol.2 , Issue.3 , pp. 18-22
    • Liaw, A.1    Wiener, M.2
  • 33
    • 0042847140 scopus 로고    scopus 로고
    • Inference for the generalization error
    • Nadeau C, Bengio Y (2003) Inference for the generalization error. Mach Learn 52(3): 239-281.
    • (2003) Mach Learn , vol.52 , Issue.3 , pp. 239-281
    • Nadeau, C.1    Bengio, Y.2
  • 35
    • 0032001170 scopus 로고    scopus 로고
    • Learning in the real world
    • Saitta L, Neri F (1998) Learning in the "real world". Mach Learn 30(2-3): 133-163.
    • (1998) Mach Learn , vol.30 , Issue.2-3 , pp. 133-163
    • Saitta, L.1    Neri, F.2
  • 39
    • 77954672890 scopus 로고    scopus 로고
    • Fast and scalable local kernel machines
    • Segata N, Blanzieri E (2010a) Fast and scalable local kernel machines. J Mach Learn Res 11: 1883-1926.
    • (2010) J Mach Learn Res , vol.11 , pp. 1883-1926
    • Segata, N.1    Blanzieri, E.2
  • 40
    • 84888220610 scopus 로고    scopus 로고
    • Operators for transforming kernels into quasi-local kernels that improve SVM accuracy
    • Segata N, Blanzieri E (2010b) Operators for transforming kernels into quasi-local kernels that improve SVM accuracy. J Intell Inform Syst 1-32.
    • (2010) J Intell Inform Syst , pp. 1-32
    • Segata, N.1    Blanzieri, E.2
  • 41
    • 84888212530 scopus 로고    scopus 로고
    • Classification: distance-based algorithms
    • M. Berry and M. Browne (Eds.), Singapore: World Scientific Publishing
    • Shen Z (2006) Classification: distance-based algorithms. In: Berry M, Browne M (eds) Lecture notes in data mining. World Scientific Publishing, Singapore.
    • (2006) Lecture Notes in Data Mining
    • Shen, Z.1
  • 45
    • 0346325856 scopus 로고    scopus 로고
    • Is the UCI repository useful for data mining?
    • Soares C (2003) Is the UCI repository useful for data mining? Prog Artif Intell 2902: 209-223.
    • (2003) Prog Artif Intell , vol.2902 , pp. 209-223
    • Soares, C.1
  • 46
    • 34249086815 scopus 로고    scopus 로고
    • Dimensionality reduction of multimodal labeled data by local Fisher discriminant analysis
    • Sugiyama M (2007) Dimensionality reduction of multimodal labeled data by local Fisher discriminant analysis. J Mach Learn Res 8: 1027-1061.
    • (2007) J Mach Learn Res , vol.8 , pp. 1027-1061
    • Sugiyama, M.1
  • 53
    • 35748956765 scopus 로고    scopus 로고
    • A local boosting algorithm for solving classification problems
    • Zhang CX, Zhang JS (2008) A local boosting algorithm for solving classification problems. Comput Stat Data Anal 52: 1928-1941.
    • (2008) Comput Stat Data Anal , vol.52 , pp. 1928-1941
    • Zhang, C.X.1    Zhang, J.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.