메뉴 건너뛰기




Volumn , Issue PART 2, 2013, Pages 1209-1217

Learning sparse penalties for change-point detection using max margin interval regression

Author keywords

[No Author keywords available]

Indexed keywords

GRADIENT METHODS; RELAXATION PROCESSES;

EID: 84897519123     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (18)

References (26)
  • 1
    • 0024541195 scopus 로고
    • Algorithms for the optimal identification of segment neighborhoods
    • Auger, I E and Lawrence, C E. Algorithms for the optimal identification of segment neighborhoods. Bulletin of mathematical biology, 51(1):39-54, 1989. (Pubitemid 19036571)
    • (1989) Bulletin of Mathematical Biology , vol.51 , Issue.1 , pp. 39-54
    • Auger, I.E.1    Lawrence, C.E.2
  • 2
    • 0037286212 scopus 로고    scopus 로고
    • Computation and analysis of multiple structural change models
    • Bai, J. and Perron, P. Computation and analysis of multiple structural change models. J. Appl. Econ., 18:1-22, 2003.
    • (2003) J. Appl. Econ. , vol.18 , pp. 1-22
    • Bai, J.1    Perron, P.2
  • 3
    • 65349098884 scopus 로고    scopus 로고
    • Gaussian model selection with unknown variance
    • Baraud, Y., Giraud, C., and Huet, S. Gaussian model selection with unknown variance. Ann. Statist., 37(2):630-672, 2009.
    • (2009) Ann. Statist. , vol.37 , Issue.2 , pp. 630-672
    • Baraud, Y.1    Giraud, C.2    Huet, S.3
  • 4
    • 85014561619 scopus 로고    scopus 로고
    • A fast iterative shrinkage-thresholding algorithm for linear inverse problems
    • Beck, A. and Teboulle, M. A fast iterative shrinkage-thresholding algorithm for linear inverse problems. SIAM J. Imaging Sciences, 2(1):183-202, 2009.
    • (2009) SIAM J. Imaging Sciences , vol.2 , Issue.1 , pp. 183-202
    • Beck, A.1    Teboulle, M.2
  • 6
    • 85162035281 scopus 로고    scopus 로고
    • The tradeoffs of large scale learning
    • Platt, J.C., Koller, D., Singer, Y., and Roweis, S. (eds.)
    • Bottou, Léon and Bousquet, Olivier. The tradeoffs of large scale learning. In Platt, J.C., Koller, D., Singer, Y., and Roweis, S. (eds.), NIPS, pp. 161-168. 2008.
    • (2008) NIPS , pp. 161-168
    • Bottou, L.1    Bousquet, O.2
  • 7
    • 0001652129 scopus 로고    scopus 로고
    • Multiple changepoint fitting via quasilikelihood, with application to DNA sequence segmentation
    • June
    • Braun, J. V., Braun, R. K., and Muller, H. G. Multiple changepoint fitting via quasilikelihood, with application to DNA sequence segmentation. Biometrika, 87(2):301-314, June 2000.
    • (2000) Biometrika , vol.87 , Issue.2 , pp. 301-314
    • Braun, J.V.1    Braun, R.K.2    Muller, H.G.3
  • 9
    • 33847794586 scopus 로고    scopus 로고
    • On the correlation of automatic audio and visual segmentations of music videos
    • March
    • Gillet, O., Essid, S., and Richard, G. On the correlation of automatic audio and visual segmentations of music videos. IEEE Trans. Cir. and Sys. for Video Technol., 17(3):347355, March 2007.
    • (2007) IEEE Trans. Cir. and Sys. For Video Technol. , vol.17 , Issue.3 , pp. 347355
    • Gillet, O.1    Essid, S.2    Richard, G.3
  • 10
    • 77956889318 scopus 로고
    • Asymptotically optimal difference-based estimation of variance in nonparametric regression
    • January
    • Hall, P., Kay, J. W., and Titterinton, D. M. Asymptotically optimal difference-based estimation of variance in nonparametric regression. Biometrika, 77(3):521-528, January 1990.
    • (1990) Biometrika , vol.77 , Issue.3 , pp. 521-528
    • Hall, P.1    Kay, J.W.2    Titterinton, D.M.3
  • 11
    • 85162013348 scopus 로고    scopus 로고
    • Catching change-points with lasso
    • Platt, J.C., Roller, D., Singer, Y., and Roweis, S. (eds.), MIT Press, Cambridge, MA
    • Harchaoui, Zaid and Levy-Leduc, Céline. Catching change-points with lasso. In Platt, J.C., Roller, D., Singer, Y., and Roweis, S. (eds.), NIPS, pp. 617-624. MIT Press, Cambridge, MA, 2008.
    • (2008) NIPS , pp. 617-624
    • Harchaoui, Z.1    Levy-Leduc, C.2
  • 15
    • 19844378139 scopus 로고    scopus 로고
    • Using penalized contrasts for the change-point problem
    • DOI 10.1016/j.sigpro.2005.01.012, PII S0165168405000381
    • Lavielle, M. Using penalized contrasts for the change-point problem. Sig. Proc., 85(8):1501-1510, 2005. (Pubitemid 40762449)
    • (2005) Signal Processing , vol.85 , Issue.8 , pp. 1501-1510
    • Lavielle, M.1
  • 16
    • 13844315857 scopus 로고    scopus 로고
    • Detecting multiple change-points in the mean of Gaussian process by model selection
    • DOI 10.1016/j.sigpro.2004.11.012, PII S0165168404003196
    • Lebarbier, E. Detecting multiple change-points in the mean of gaussian process by model selection. Signal Processing, 85:717-736, 2005. (Pubitemid 40259512)
    • (2005) Signal Processing , vol.85 , Issue.4 , pp. 717-736
    • Lebarbier, E.1
  • 17
    • 0011493112 scopus 로고
    • Estimating the number of change points in a sequence of independent normal random variables
    • Lee, C.-B. Estimating the number of change points in a sequence of independent normal random variables. Statist. Proba. Lett., 25(3):241-8, 1995.
    • (1995) Statist. Proba. Lett. , vol.25 , Issue.3 , pp. 241-248
    • Lee, C.-B.1
  • 20
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • Schwarz, G. Estimating the dimension of a model. Ann. Statist., 6(2):461-4, 1978.
    • (1978) Ann. Statist. , vol.6 , Issue.2 , pp. 461-464
    • Schwarz, G.1
  • 21
    • 37249032736 scopus 로고    scopus 로고
    • Spatial smoothing and hot spot detection for CGH data using the fused lasso
    • January
    • Tibshirani, Robert and Wang, Pei. Spatial smoothing and hot spot detection for CGH data using the fused lasso. Biostatistics, 9(1):18-29, January 2008.
    • (2008) Biostatistics , vol.9 , Issue.1 , pp. 18-29
    • Tibshirani, R.1    Wang, P.2
  • 22
    • 84887252594 scopus 로고    scopus 로고
    • Support vector method for function approximation, regression estimation, and signal processing
    • Mozer, M. C., Jordan, M. I., and Petsche, T. (eds.)
    • Vapnik, V., Golowich, S., and Smola, A. J. Support vector method for function approximation, regression estimation, and signal processing. In Mozer, M. C., Jordan, M. I., and Petsche, T. (eds.), NIPS, pp. 281-287, 1997.
    • (1997) NIPS , pp. 281-287
    • Vapnik, V.1    Golowich, S.2    Smola, A.J.3
  • 23
    • 34147104969 scopus 로고    scopus 로고
    • A faster circular binary segmentation algorithm for the analysis of array CGH data
    • March
    • Venkatraman, E S and Olshen, Adam B. A faster circular binary segmentation algorithm for the analysis of array CGH data. Bioinformatics, 23(6):657-663, March 2007.
    • (2007) Bioinformatics , vol.23 , Issue.6 , pp. 657-663
    • Venkatraman, E.S.1    Olshen, A.B.2
  • 24
    • 85162047618 scopus 로고    scopus 로고
    • Fast detection of multiple change-points shared by many signals using group LARS
    • Lafferty, J., Williams, C. K. I., Shawe-Taylor, J., Zemel, R. S., and Cullota, A. (eds.)
    • Vert, Jean-Philippe and Bleakley, Kevin. Fast detection of multiple change-points shared by many signals using group LARS. In Lafferty, J., Williams, C. K. I., Shawe-Taylor, J., Zemel, R. S., and Cullota, A. (eds.), NIPS, pp. 2343-2351, 2010.
    • (2010) NIPS , pp. 2343-2351
    • Vert, J.-P.1    Bleakley, K.2
  • 25
    • 33847378251 scopus 로고
    • Estimating the number of change-points via Schwarz' criterion
    • February
    • Yao, Y.-C. Estimating the number of change-points via Schwarz' criterion. Statistics & Probability Letters, 6(3):181-189, February 1988.
    • (1988) Statistics & Probability Letters , vol.6 , Issue.3 , pp. 181-189
    • Yao, Y.-C.1
  • 26
    • 34247243220 scopus 로고    scopus 로고
    • A modified Bayes information criterion with applications to the analysis of comparative genomic hybridization data
    • Zhang, N. R. and Siegmund, D. O. A modified Bayes information criterion with applications to the analysis of comparative genomic hybridization data. Biometrics, 63(1):22-32, 2007.
    • (2007) Biometrics , vol.63 , Issue.1 , pp. 22-32
    • Zhang, N.R.1    Siegmund, D.O.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.