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Home All issues Volume 541 (May 2012) A&A, 541 (2012) A50 References
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Issue
A&A
Volume 541, May 2012
Article Number A50
Number of page(s) 8
Section Astronomical instrumentation
DOI https://doi.org/10.1051/0004-6361/201118108
Published online 26 April 2012
  1. Arendt, R. G., Odegard, N., Weiland, J. L., et al. 1998, ApJ, 508, 74 [Google Scholar]
  2. Barger, A. J., Cowie, L. L., Steffen, A. T., et al. 2001, ApJ, 560, L23 [NASA ADS] [CrossRef] [Google Scholar]
  3. Bertin, E., & Arnouts, S. 1996, A&AS, 117, 393 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  4. Bertin, E., Dennefeld, M., & Moshir, M. 1997, A&A, 323, 685 [NASA ADS] [Google Scholar]
  5. Clements, D. L., Rigby, E., Maddox, S., et al. 2010, A&A, 518, L8 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  6. Cristianini, N., & Shawe-Taylor, J. 2000, An introduction to Support Vector Machines (Cambridge University Press) [Google Scholar]
  7. Dole, H., Le Floc’h, E., Pérez-González, P. G., et al. 2004, ApJS, 154, 87 [NASA ADS] [CrossRef] [Google Scholar]
  8. Ellis, R. S. 1997, ARA&A, 35, 389 [NASA ADS] [CrossRef] [Google Scholar]
  9. Frayer, D. T., Fadda, D., Yan, L., et al. 2006, AJ, 131, 250 [NASA ADS] [CrossRef] [Google Scholar]
  10. Gao, L., Springel, V., & White, S. D. M. 2005, MNRAS, 363, L66 [NASA ADS] [CrossRef] [Google Scholar]
  11. Gurney, K. 1997, An Introduction to Neural Networks (Bristol, PA, USA: Taylor & Francis, Inc.) [Google Scholar]
  12. Hakkila, J., Roiger, R. J., Haglin, D. J., Giblin, T. W., & Paciesas, W. S. 2003, in Gamma-Ray Burst and Afterglow Astronomy 2001: A Workshop Celebrating the First Year of the HETE Mission, ed. G. R. Ricker, & R. K. Vanderspek, AIP Conf. Ser., 662, 179 [Google Scholar]
  13. Harmon, R., & Mamon, G. 1993, in ASP Conf. Ser., 43, 15 [Google Scholar]
  14. Hasinger, G. 1992, in Results from ROSAT and GRO and Other Recent High Energy Astrophysics Missions, 1 [Google Scholar]
  15. Hasinger, G. 2002, in X-ray Spectroscopy of AGN with Chandra and XMM-Newton, 213 [Google Scholar]
  16. Hsu, C.-W., Chang, C.-C., & Lin, C.-J. 2003, Bioinformatics, 1, 1 [Google Scholar]
  17. Huertas-Company, M., Rouan, D., Tasca, L., Soucail, G., & Le Fèvre, O. 2008, A&A, 478, 971 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  18. Imai, K., Matsuhara, H., Oyabu, S., et al. 2007, AJ, 133, 2418 [NASA ADS] [CrossRef] [Google Scholar]
  19. Iye, M., Karoji, H., Ando, H., et al. 2004, PASJ, 56, 381 [NASA ADS] [Google Scholar]
  20. Jones, L. R., Fong, R., Shanks, T., Ellis, R. S., & Peterson, B. A. 1991, MNRAS, 249, 481 [NASA ADS] [CrossRef] [Google Scholar]
  21. Kron, R. G. 1978, Ph.D. Thesis, California Univ., Berkeley [Google Scholar]
  22. Lonsdale, C. J., & Hacking, P. B. 1989, ApJ, 339, 712 [NASA ADS] [CrossRef] [Google Scholar]
  23. Lorente, R., Onaka, T., Ita, Y., Ohyama, Y., & Pearson, C. P. 2008, AKARI IRC Data User Manual ver 1.4 [Google Scholar]
  24. Matsuhara, H., Wada, T., Matsuura, S., et al. 2006, PASJ, 58, 673 [NASA ADS] [Google Scholar]
  25. McVittie, G. C., & Schusterman, L. 1966, AJ, 71, 137 [NASA ADS] [CrossRef] [Google Scholar]
  26. Miyazaki, S., Komiyama, Y., Sekiguchi, M., et al. 2002, PASJ, 54, 833 [NASA ADS] [CrossRef] [Google Scholar]
  27. Mo, H. J., & White, S. D. M. 1996, MNRAS, 282, 347 [NASA ADS] [CrossRef] [Google Scholar]
  28. Oliver, S. J. 1996, in Astrophys. Space Sci. Lib., 206, 77 [Google Scholar]
  29. Oliver, S. J., Wang, L., Smith, A. J., et al. 2010, A&A, 518, L21 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  30. Onaka, T., Matsuhara, H., Wada, T., et al. 2007, PASJ, 59, 401 [NASA ADS] [Google Scholar]
  31. Papovich, C., Dole, H., Egami, E., et al. 2004, ApJS, 154, 70 [NASA ADS] [CrossRef] [Google Scholar]
  32. Pearson, C. P., Oyabu, S., Wada, T., et al. 2010, A&A, 514, A8 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  33. Peebles, P. J. E. 1971, Physical cosmology, ed. P. J. E. Peebles [Google Scholar]
  34. Pollo, A., Rybka, P., & Takeuchi, T. T. 2010, A&A, 514, A3 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  35. Puget, J. L., Lagache, G., Clements, D. L., et al. 1999, A&A, 345, 29 [NASA ADS] [Google Scholar]
  36. Reid, N., & Gilmore, G. 1982, MNRAS, 201, 73 [NASA ADS] [Google Scholar]
  37. Ryle, M., & Scheuer, P. A. G. 1955, Roy. Soc. London Proc. Ser. A, 230, 448 [NASA ADS] [CrossRef] [Google Scholar]
  38. Sasseen, T. P., Eisenman, I., Mason, K., & The XMM Optical Monitor Team 2002 [arXiv:astro-ph/0204322] [Google Scholar]
  39. Shawe-Taylor, S., & Cristianini, N. 2004, Kernel Methods for Pattern Analysis (Cambridge, UK: Cambridge, University Press) [Google Scholar]
  40. Takeuchi, T. T., Ishii, T. T., Hirashita, H., et al. 2001, PASJ, 53, 37 [NASA ADS] [CrossRef] [Google Scholar]
  41. Tanabé, T., Sakon, I., Cohen, M., et al. 2008, PASJ, 60, 375 [NASA ADS] [CrossRef] [Google Scholar]
  42. Taniguchi, Y., Kawara, K., & Matsuhara, H. 1999, Ap&SS, 266, 313 [NASA ADS] [CrossRef] [Google Scholar]
  43. Valiante, E., Ade, P. A. R., Bock, J. J., et al. 2010, ApJS, 191, 222 [NASA ADS] [CrossRef] [Google Scholar]
  44. Vapnik, V. N. 1995, The nature of statistical learning theory (New York, NY, USA: Springer-Verlag New York, Inc.) [Google Scholar]
  45. Wada, T., Matsuhara, H., Oyabu, S., et al. 2008, PASJ, 60, 517 [NASA ADS] [Google Scholar]
  46. Walker, H., Cohen, M. K., Volk, R. J. W., & Schwartz, D. 1989, AJ, 98, 2163 [NASA ADS] [CrossRef] [Google Scholar]
  47. White, S. D. M., & Rees, M. J. 1978, MNRAS, 183, 341 [NASA ADS] [CrossRef] [Google Scholar]
  48. Williams, R. E., Blacker, B., Dickinson, M., et al. 1996, AJ, 112, 1335 [NASA ADS] [CrossRef] [Google Scholar]
  49. Woźniak, P. R., Williams, S. J., Vestrand, W. T., & Gupta, V. 2004, AJ, 128, 2965 [NASA ADS] [CrossRef] [Google Scholar]
  50. Zhang, Y., & Zhao, Y. 2004, A&A, 422, 1113 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]

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