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Volumn , Issue , 2012, Pages 161-182

Sensitivity and generalization of SVM with weighted and reduced features

Author keywords

[No Author keywords available]

Indexed keywords

DATA SAMPLE; EMPIRICAL RISK MINIMIZATION; HIGH-DIMENSIONAL PROBLEMS; NON LINEAR; SMALL SAMPLES; STATISTICAL LEARNING METHODS; STRUCTURE RISK MINIMIZATION; WEIGHT VALUES;

EID: 84873134411     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-1-4614-1903-7     Document Type: Chapter
Times cited : (2)

References (34)
  • 1
    • 85025633745 scopus 로고    scopus 로고
    • Forecasting stock price by SVMs regression artificial intelligence
    • Bao, Y. K., Lu, Y. S., Zhang, J. L.: Forecasting stock price by SVMs regression artificial intelligence. Lecture Notes in Comput. Sci. 319, 2295-303 (2004)
    • (2004) Lecture Notes in Comput. Sci , vol.319 , pp. 2295-2303
    • Bao, Y.K.1    Lu, Y.S.2    Zhang, J.L.3
  • 2
    • 77955319589 scopus 로고    scopus 로고
    • Kernel based gene expression pattern discovery and its application on cancer classification
    • Cai, R. C., Hao, Z. F., Wen, W., Han, H.: Kernel based gene expression pattern discovery and its application on cancer classification. Neurocomputing. 73(13-15), 2562-2570 (2010)
    • (2010) Neurocomputing , vol.73 , Issue.13-15 , pp. 2562-2570
    • Cai, R.C.1    Hao, Z.F.2    Wen, W.3    Han, H.4
  • 3
    • 33746756600 scopus 로고    scopus 로고
    • Facial expression recognition based on rough set theory andsVM
    • Chen, P. J., Wang, G. Y., Yang, Y., Zhou, J.: Facial expression recognition based on rough set theory andsVM. Lecture Notes in Comput. Sci. 4062, 772-777 (2006)
    • (2006) Lecture Notes in Comput. Sci , vol.4062 , pp. 772-777
    • Chen, P.J.1    Wang, G.Y.2    Yang, Y.3    Zhou, J.4
  • 5
    • 34047138318 scopus 로고    scopus 로고
    • Combining SVMs with various feature selection strategies. Stud
    • Chen, Y. W., Lin, C. J.: Combining SVMs with various feature selection strategies. Stud. Fuzziness Soft Comput. 207, 315-324 (2006)
    • (2006) Fuzziness Soft Comput , vol.207 , pp. 315-324
    • Chen, Y.W.1    Lin, C.J.2
  • 6
    • 0001829246 scopus 로고
    • Introduction to Grey system theory
    • Deng, J. L.: Introduction to Grey system theory. J. Gre. Syst. 1(1), 103-104 (1989)
    • (1989) J. Gre. Syst , vol.1 , Issue.1 , pp. 103-104
    • Deng, J.L.1
  • 7
    • 33746259591 scopus 로고    scopus 로고
    • Support vector machines for time series regression and prediction
    • Dong, H., Fu, H. L., Leng, W. M.: Support vector machines for time series regression and prediction, J. Syst. Sim. 18 (7), 1784-1788 (2006)
    • (2006) J. Syst. Sim , vol.18 , Issue.7 , pp. 1784-1788
    • Dong, H.1    Fu, H.L.2    Leng, W.M.3
  • 8
    • 28444495934 scopus 로고    scopus 로고
    • Weighted support vector machine for classification with uneven training class sizes
    • Huang, Y. M., Du, S. X.: Weighted support vector machine for classification with uneven training class sizes. Mach. Learn. and. Cyb. 7, 4365-4369 (2005)
    • (2005) Mach. Learn. And. Cyb , vol.7 , pp. 4365-4369
    • Huang, Y.M.1    Du, S.X.2
  • 10
    • 33745198718 scopus 로고    scopus 로고
    • Fuzzy SVM with a new fuzzy membership function
    • Jiang, X. F., Zhang, Y., Lv, J.C.: Fuzzy SVM with a new fuzzy membership function, Neural. Comput. And. Appl. 15, 268-276 (2006)
    • (2006) Neural. Comput. And. Appl , vol.15 , pp. 268-276
    • Jiang, X.F.1    Zhang, Y.2    Lv, J.C.3
  • 11
    • 81555219312 scopus 로고    scopus 로고
    • Research on support vector regression machine based on weighted feature
    • Research on support vector regression machine based on weighted feature. Comp. Eng. And. Appl. 43(6), 42-44 (2007)
    • (2007) Comp. Eng. And. Appl , vol.43 , Issue.6 , pp. 42-44
  • 12
    • 0001376652 scopus 로고
    • Nonlinear dynamics and stock returns
    • LeBaron, B.: Nonlinear dynamics and stock returns. J. Bus. 62(3), 311-337 (1989)
    • (1989) J. Bus , vol.62 , Issue.3 , pp. 311-337
    • Lebaron, B.1
  • 13
    • 1342308279 scopus 로고    scopus 로고
    • Support vector machine based multi-view face detection and recognition
    • Li, Y., Gong, S., Sherrah, J.: Support vector machine based multi-view face detection and recognition. Image Vis. Comput. 22(5), 413-427 (2004)
    • (2004) Image Vis. Comput , vol.22 , Issue.5 , pp. 413-427
    • Li, Y.1    Gong, S.2    Sherrah, J.3
  • 14
    • 34250741488 scopus 로고    scopus 로고
    • Rough set based 1-v-1 and 1-v-r approaches to support vector machine multi-classification
    • Lingras, P., Butz, C.: Rough set based 1-v-1 and 1-v-r approaches to support vector machine multi-classification. Inf. Sci. 177(18), 3782-3798 (2007)
    • (2007) Inf. Sci , vol.177 , Issue.18 , pp. 3782-3798
    • Lingras, P.1    Butz, C.2
  • 15
    • 78650116502 scopus 로고    scopus 로고
    • Introduction to Grey Systems Theory
    • Liu, S. F., Lin, Y.: Introduction to Grey Systems Theory. Unds. Comp. Sys. 68, 1-18 (2011)
    • (2011) Unds. Comp. Sys , vol.68 , pp. 1-18
    • Liu, S.F.1    Lin, Y.2
  • 16
    • 64949130686 scopus 로고    scopus 로고
    • Financial time series forecasting using independent component analysis and support vector regression
    • Lu, C. J., Lee, T. S.: Financial time series forecasting using independent component analysis and support vector regression. Decision. Supp. Syst. 47(2), 115-125 (2009)
    • (2009) Decision. Supp. Syst , vol.47 , Issue.2 , pp. 115-125
    • Lu, C.J.1    Lee, T.S.2
  • 17
    • 0001327036 scopus 로고
    • Sampling distribution of post sample forecasting errors
    • Makridakis, S., Winkler, R. L.: Sampling distribution of post sample forecasting errors. Appl.Stat. 38,331-342 (1989)
    • (1989) Appl.Stat. , vol.38 , pp. 331-342
    • Makridakis, S.1    Winkler, R.L.2
  • 19
    • 20344388265 scopus 로고    scopus 로고
    • A hybrid ARIMA and support vector machines model in stock price forecasting
    • Pai, P. F., Lin, C. S.: A hybrid ARIMA and support vector machines model in stock price forecasting. Omega. 33(6), 497-505 (2005)
    • (2005) Omega , vol.33 , Issue.6 , pp. 497-505
    • Pai, P.F.1    Lin, C.S.2
  • 20
    • 77951295936 scopus 로고    scopus 로고
    • Feature Selection for classification of hyperspectral data by SVM
    • Pal, M., Foody, G. M.: Feature Selection for classification of hyperspectral data by SVM. IEEE Trans. Geos. Rem. 48(5), 2297-2307 (2010)
    • (2010) IEEE Trans. Geos. Rem , vol.48 , Issue.5 , pp. 2297-2307
    • Pal, M.1    Foody, G.M.2
  • 23
    • 0002395767 scopus 로고
    • The discernibility matrices and function in information systems
    • SlowinskiR. (1st.), Kluwer Academic Publishers, Dordrecht
    • Slowron, A., Rauszer, C.: The discernibility matrices and function in information systems. In: SlowinskiR. (1st.) Handbook of Applications and Advance of Rough Sets Theory, pp. 331-362. Kluwer Academic Publishers, Dordrecht (1992)
    • (1992) Handbook of Applications and Advance of Rough Sets Theory , pp. 331-362
    • Slowron, A.1    Rauszer, C.2
  • 25
    • 70350383629 scopus 로고    scopus 로고
    • GARCH prediction using spline wavelet support vector machine machines
    • Tang, L. B., Huan, Y. S., Ling, X. T.: GARCH prediction using spline wavelet support vector machine machines. Neural. Comput. Appl. 18(8), 913-917 (2009)
    • (2009) Neural. Comput. Appl , vol.18 , Issue.8 , pp. 913-917
    • Tang, L.B.1    Huan, Y.S.2    Ling, X.T.3
  • 26
    • 80155136396 scopus 로고    scopus 로고
    • China, s power supply SVM regression forecast based on rough Set attribute reduction
    • Tang, Y. Q., Mao, J. J.: China, s power supply SVM regression forecast based on rough Set attribute reduction. Comput. Tec. And. Dev. 20(9), 48-52 (2010)
    • (2010) Comput. Tec. And. Dev , vol.20 , Issue.9 , pp. 48-52
    • Tang, Y.Q.1    Mao, J.J.2
  • 27
    • 0032594959 scopus 로고    scopus 로고
    • An overview of an overview of statistical learning theory
    • Vapnik, V. N.: An overview of an overview of statistical learning theory. IEEE.Tran.Neur.Net, 10(5), 988-999 (1999)
    • (1999) Ieee.Tran.Neur.Net , vol.10 , Issue.5 , pp. 988-999
    • Vapnik, V.N.1
  • 30
    • 34548109392 scopus 로고    scopus 로고
    • Enhancing Generalization capability of SVM classifiers with feature weight adjustment
    • Wang, X. Z., He, Q.: Enhancing Generalization capability of SVM classifiers with feature weight adjustment. Lecture Notes in Comput. Sci. 3213, 1037-1043 (2004)
    • (2004) Lecture Notes in Comput. Sci , vol.3213 , pp. 1037-1043
    • Wang, X.Z.1    He, Q.2
  • 31
    • 84947943630 scopus 로고    scopus 로고
    • Support vector machine regression for volatile stock market prediction
    • Yang, H. Q., Chan, L. W., King, I.: Support vector machine regression for volatile stock market prediction. Lecture Notes in Comput. Sci. 2412, 143-152 (2002)
    • (2002) Lecture Notes in Comput. Sci , vol.2412 , pp. 143-152
    • Yang, H.Q.1    Chan, L.W.2    King, I.3
  • 32
    • 78049527969 scopus 로고    scopus 로고
    • A multiple-kernel support vector regression approach for stock market price forecasting
    • Yeh, C. H.: A multiple-kernel support vector regression approach for stock market price forecasting. Exp. Syst. Appl. 38(3), 2177-2186 (2011)
    • (2011) Exp. Syst. Appl , vol.38 , Issue.3 , pp. 2177-2186
    • Yeh, C.H.1
  • 33
    • 34547446205 scopus 로고    scopus 로고
    • Structured large margin machines: Sensitive to data distributions
    • Yeung, Daniel S., Wang, D. F., Ng, W. Y., Tsang, Eric. C. C., Wang, X. Z.: Structured large margin machines: sensitive to data distributions. Mach.Learn. 68(2), 171-200 (2007)
    • (2007) Mach.Learn. , vol.68 , Issue.2 , pp. 171-200
    • Yeung, D.S.1    Wang, D.F.2    Ng, W.Y.3    Tsang, E.C.C.4    Wang, X.Z.5
  • 34
    • 0027543613 scopus 로고
    • Variable precision rough set model
    • Ziarko, W.: Variable precision rough set model. J. Comput. Syst. Sci. 46(1), 39-59 (1993)
    • (1993) J. Comput. Syst. Sci , vol.46 , Issue.1 , pp. 39-59
    • Ziarko, W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.