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Home All issues Volume 600 (April 2017) A&A, 600 (2017) A113 References
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Issue
A&A
Volume 600, April 2017
Article Number A113
Number of page(s) 11
Section Cosmology (including clusters of galaxies)
DOI https://doi.org/10.1051/0004-6361/201629558
Published online 12 April 2017
  1. Arnouts, S., Cristiani, S., Moscardini, L., et al. 1999, MNRAS, 310, 540 [NASA ADS] [CrossRef] [Google Scholar]
  2. Beaumont., C., Williams, J., & Goodman, A. 2011, ApJ, 741, 14 [NASA ADS] [CrossRef] [Google Scholar]
  3. Benítez, N. 2000, ApJ, 536, 571 [NASA ADS] [CrossRef] [Google Scholar]
  4. Burges, C. 1998, Data Mining and Know Disc, 2, 2 [Google Scholar]
  5. Budavari, T., Szalay, A. S., Charlot, S., et al. 2005, ApJ, 619, L31 [NASA ADS] [CrossRef] [Google Scholar]
  6. Carrasco Kind, M., & Brunner, R. 2013, MNRAS, 432, 2 [NASA ADS] [CrossRef] [Google Scholar]
  7. Carliles, S., Budavari, T., Heinis, S., Priebe, C., & Szalay, A. S. 2010, ApJ, 712, 511 [NASA ADS] [CrossRef] [Google Scholar]
  8. Cassata, P., Guzzo, L., Franceschini, A., et al. 2007, ApJS, 172, 270 [NASA ADS] [CrossRef] [Google Scholar]
  9. Chang, C., & Lin, C. 2011, LIBSVM: a library for support vector machines, ACM Transactions on Intelligent Systems and Technology, 2,1 [Google Scholar]
  10. Collister, A., & Lahav, O. 2004, PASP, 116, 345 [NASA ADS] [CrossRef] [Google Scholar]
  11. Cortes, C., & Vapnik, V. 1995, Machine Learning, 20, 3 [Google Scholar]
  12. Davis, M., Guhathakurta, P., Konidaris, N. P., et al. 2007, ApJ, 660, L1 [NASA ADS] [CrossRef] [Google Scholar]
  13. Gerdes, D., Sypniewski, A. J., McKay, T. A., et al. 2010, ApJ, 715, 823 [NASA ADS] [CrossRef] [Google Scholar]
  14. Graham, A., & Driver, S. 2005, PASA, 22, 118 [NASA ADS] [CrossRef] [Google Scholar]
  15. Griffith, R., Cooper, M. C., Newman, J. A., et al. 2012, ApJS, 200, 9 [NASA ADS] [CrossRef] [Google Scholar]
  16. Gwyn, S. 2008, PASP, 120, 212 [NASA ADS] [CrossRef] [Google Scholar]
  17. Hassan., T., Mirabal, N., Contreras, J., & Oya, L. 2013, MNRAS, 428, 220 [NASA ADS] [CrossRef] [Google Scholar]
  18. Häussler, B., McIntosh, D. H., Barden, M., et al. 2007, ApJS, 172, 615 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  19. Haykin, S. 1999, Neural Networks: A Comprehensive Foundation, Upper Saddle River (NJ: Prentice Hall) [Google Scholar]
  20. Hearin, A., Zentner, A., Ma, Z., & Huterer, D. 2010, ApJ, 720, 135 [Google Scholar]
  21. Hearst, M., Scholköpf, B., Dumais, S., Osuna, E., & Platt, J. 1998, IEEE Int. Syst, 13, 18 [Google Scholar]
  22. Hildebrandt, H., Arnouts, S., Capak, P., et al. 2010, A&A, 523, A31 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  23. Huretas-Company, M., Tasca, L., Rouan, D., et al. 2008, A&A, 497, 743 [Google Scholar]
  24. Hsu, C.-W., & Lin, C.-J. 2002, IEEE Trans Neural Net, 13, 2 [CrossRef] [Google Scholar]
  25. Huterer, D., Takada, M., Bernstein, G., & Jain, B. 2006, MNRAS, 366, 101 [NASA ADS] [CrossRef] [Google Scholar]
  26. Ilbert, O., Arnouts, S., McCracken, H. J., et al. 2006, A&A, 457, 841 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  27. Ivezic, Z., Tyson, J. A., Abel, B., et al. 2008, ArXiv e-prints [arXiv:0805.2366] [Google Scholar]
  28. Jolliffe, I. 2002, Principal Component Analysis. Series: Springer Series in Statistics, 2nd edn. (New York: Springer) [Google Scholar]
  29. Klement, R. J., Bailer-Jones, C. A. L., Fuchs, B., Rix, H.-W., & Smith, K. W. 2011, ApJ, 726, 103 [NASA ADS] [CrossRef] [Google Scholar]
  30. Knerr, S., Personnaz, L., & Dreyfyus, G. 1990, in Neurocomputing: Algorithms, Architectures, and Applications (Springer) [Google Scholar]
  31. Koekemoer, A., Aussel, H., Calzetti, D., et al. 2007, ApJS, 172, 196 [NASA ADS] [CrossRef] [Google Scholar]
  32. Laigle, C., McCracken, H. J., Ilbert, O., et al. 2016, ApJS, 224, 24 [NASA ADS] [CrossRef] [Google Scholar]
  33. Lilly, S., Le Brun, V., Maier, C., et al. 2009, ApJS, 184, 218 [Google Scholar]
  34. Li, I., & Yee, H. 2008, AJ, 135, 809 [NASA ADS] [CrossRef] [Google Scholar]
  35. Lotz, J. M., Davis, M., Faber, S. M., et al. 2008, ApJ, 672, 177 [NASA ADS] [CrossRef] [Google Scholar]
  36. Malek, K., Solarz, A., Pollo, A., et al. 2013, A&A, 557, A16 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  37. Marton, G., Toth, L., Paladini, M., et al. 2016, MNRAS, 458, 347 [Google Scholar]
  38. Momcheva, I. G., Brammer, G. B., van Dokkum, P. G., et al. 2016, ApJS, 225, 27 [NASA ADS] [CrossRef] [Google Scholar]
  39. Peng, C., Ho, L., Impev, C., & Rix, H. 2002, AJ, 124, 266 [NASA ADS] [CrossRef] [Google Scholar]
  40. Platt, J. 1998, Microsoft Technical Report, MSR-TR-98-14 [Google Scholar]
  41. Scarlata, C., Carollo, C. M., Lilly, S., et al. 2007, ApJS, 172, 406 [NASA ADS] [CrossRef] [Google Scholar]
  42. Scoville, A., Aussel, H., Brusa, M., et al. 2007, ApJS, 172, 1 [NASA ADS] [CrossRef] [Google Scholar]
  43. Singal, J., Shmakova, M., Gerke, B., Griffith, R. L., & Lotz, J. 2011, PASP, 123, 615 [NASA ADS] [CrossRef] [Google Scholar]
  44. Solarz, A., Pollo, A., Takeuchi, T. T., et al. 2012, A&A, 541, A50 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  45. Tagliaferri, R., Longo, G., Andreon, S., et al. 2003, Lect. Notes Comp. Sci., 2859, 226 [Google Scholar]
  46. Vanzella, E., Cristiani, S., Fontana, A., et al. 2004, A&A, 423, 761 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  47. Vince, O., & Csabai, I. 2007, Toward more precise photometric redshift estimation, Proc. International Astronomical Union, 241, 573 [Google Scholar]
  48. Wadadekar, Y. 2004, PASP, 117, 79 [Google Scholar]
  49. Wang, D., Zhang, Y., Liu, C., & Zhao, Y. 2007, CJAA, 7, 43 [Google Scholar]
  50. Way, M., & Srivastava, A. 2006, ApJ, 647, 102 [NASA ADS] [CrossRef] [Google Scholar]
  51. Wolf, C. 2009, MNRAS, 397, 520 [NASA ADS] [CrossRef] [Google Scholar]

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