EDP Sciences
Free Access
Issue
A&A
Volume 531, July 2011
Article Number A156
Number of page(s) 15
Section Astronomical instrumentation
DOI https://doi.org/10.1051/0004-6361/201016419
Published online 05 July 2011
  • Aerts, C., Christensen-Dalsgaard, J., & Kurtz, D. W. 2010, Asteroseis. Astron. Astrophys. Lib. (Springer)
  • Alzate, C., & Suykens, J. A. K. 2009, in 2009 International Joint Conference on Neural Networks (IJCNN09), 141
  • Alzate, C., & Suykens, J. A. K. 2010, IEEE Trans. Pattern Anal. Mach. Intell., 32, 335 [CrossRef] [PubMed]
  • Auvergne, M., Bodin, P., Boisnard, L., et al. 2009, A&A, 506, 411 [NASA ADS] [CrossRef] [EDP Sciences]
  • Blomme, J., Debosscher, J., De Ridder, J., et al. 2010, ApJ, 713, L204 [NASA ADS] [CrossRef]
  • Borucki, W. J., Koch, D., Basri, G., et al. 2010, Science, 327, 977 [NASA ADS] [CrossRef] [PubMed]
  • Boyd, S., & Vandenberghe, L. 2004, Convex Optimization (Cambridge University Press)
  • Cheeseman, P., Kelly, J., Self, M., et al. 1988, in Proceedings of the Fifth International Conference On Machine Learning (Morgan Kaufmann Publishers), 54
  • Debosscher, J. 2009, Ph.D. Thesis, Katholieke Universiteit Leuven
  • Debosscher, J., Sarro, L. M., Aerts, C., et al. 2007, A&A, 475, 1159 [NASA ADS] [CrossRef] [EDP Sciences]
  • Debosscher, J., Sarro, L. M., López, M., et al. 2009, A&A, 506, 519 [NASA ADS] [CrossRef] [EDP Sciences]
  • Degroote, P., Aerts, C., Ollivier, M., et al. 2009a, A&A, 506, 471 [NASA ADS] [CrossRef] [EDP Sciences]
  • Degroote, P., Briquet, M., Catala, C., et al. 2009b, A&A, 506, 111 [NASA ADS] [CrossRef] [EDP Sciences]
  • Eyer, L., & Blake, C. 2005, MNRAS, 358, 30 [NASA ADS] [CrossRef]
  • Fridlund, M., Baglin, A., Lochard, J., & Conroy, L. 2006, in The CoRoT Mission Pre-Launch Status – Stellar Seismology and Planet Finding
  • Girolami, M. 2002, Neural Computation, 14, 1455 [CrossRef]
  • Hojnacki, S. M., Micela, G., LaLonde, S., Feigelson, E., & Kastner, J. 2008, Statis. Meth., 5, 350 [CrossRef]
  • Hubert, L., & Arabie, P. 1985, J. Classif., 2, 193 [CrossRef]
  • Jain, A. K., Murty, M. N., & Flynn, P. J. 1999, ACM Computing Surveys, 31, 264 [CrossRef]
  • Jebara, T., & Kondor, R. 2003, in Proceedings of the 16th Annual Conference on Computational Learning Theory, COLT 2003, and the 7th Kernel Workshop, Kernel (Springer) 2777, 57
  • Jebara, T., Song, Y., & Thadani, Y. 2007, in Machine Learning: ECML 2007, 164
  • Lomb, N. R. 1976, Ap&SS, 39, 447 [NASA ADS] [CrossRef]
  • Murphy, K. 1998, Hidden Markov Model (HMM) Toolbox for Matlab, http://www.cs.ubc.ca/~murphyk/Software/HMM/hmm.html
  • Ng, A., Jordan, M., & Weiss, Y. 2001, Advances in Neural Information Processing Systems, 14, 849
  • Oates, T., Firoiu, L., & Cohen, P. R. 1999, in Proceedings of the IJCAI-99 Workshop on Neural, Symbolic and Reinforcement Learning Methods for Sequence Learning, 17
  • Rabiner, L. R. 1989, in Proc. IEEE, 257–286
  • Rousseeuw, P. J. 1987, J. Comput. Appl. Mathem., 20, 53 [CrossRef]
  • Roxburgh, I. W., & Vorontsov, S. V. 2006, MNRAS, 369, 1491 [NASA ADS] [CrossRef]
  • Sarro, L. M., Debosscher, J., Aerts, C., & López, M. 2009, A&A, 506, 535 [NASA ADS] [CrossRef] [EDP Sciences]
  • Scargle, J. D. 1982, ApJ, 263, 835 [NASA ADS] [CrossRef]
  • Schölkopf, B., & Smola, A. J. 2002, Learning with Kernels (The MIT press)
  • Seber, G. A. F. 1984, Multivariate Observations (John Wiley & Sons)
  • Shi, J., & Malik, J. 2000, IEEE Trans. Pattern Anal. Machine Intell., 22, 888 [CrossRef]
  • Suykens, J. A. K., Van Gestel, T., De Brabanter, J., De Moor B., & Vandewalle J. 2002, Least Squares Support Vector Machines (World Scientific Publishing Co. Pte. Ltd.)
  • Suykens, J. A. K., Alzate, C., & Pelckmans, K. 2010, Statistics Surveys, 4, 148 [CrossRef]
  • Vapnik, V. 1998, Statistical learning Theory (John Wiley & Sons, Inc.)
  • von Luxburg, U. 2007, Statistics and Computing, 17, 395 [CrossRef]
  • Zucchini, W., & MacDonald, I. L. 2009, Monographs on Statistics and Applied Probability, 110, Hidden Markov Models for time series: An introduction using R, 2nd edn. (CRC Press)

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