- Agüeros, M. A., Ivezić, Ž., Covey, K. R., et al. 2005, AJ, 130, 1022 [NASA ADS] [CrossRef] [Google Scholar]
- Ahn, C. P., Alexandroff, R., Allen de Prieto, C., et al. 2012, ApJS, 203, 21 [NASA ADS] [CrossRef] [Google Scholar]
- Ball, N. M., & Brunner, R. J. 2010, Int. J. Mod. Phys. D, 19, 1049 [NASA ADS] [CrossRef] [Google Scholar]
- Ball, N. M., Brunner, R. J., Myers, A. D., & Tcheng, D. 2006, ApJ, 650, 497 [NASA ADS] [CrossRef] [Google Scholar]
- Ball, N. M., Brunner, R. J., Myers, A. D., et al. 2007, ApJ, 663, 774 [NASA ADS] [CrossRef] [Google Scholar]
- Becker, R. H., White, R. L., Gregg, M. D., et al. 2001, ApJS, 135, 227 [NASA ADS] [CrossRef] [Google Scholar]
- Bovy, J., Hennawi, J. F., Hogg, D. W., et al. 2011, ApJ, 729, 141 [NASA ADS] [CrossRef] [Google Scholar]
- Breiman, L. 2001, in Machine Learning, 5 [Google Scholar]
- Cardelli, J. A., Clayton, G. C., & Mathis, J. S. 1989, ApJ, 345, 245 [NASA ADS] [CrossRef] [Google Scholar]
- Carliles, S., Budavári, T., Heinis, S., Priebe, C., & Szalay, A. S. 2010, ApJ, 712, 511 [NASA ADS] [CrossRef] [Google Scholar]
- Carrasco Kind, M., & Brunner, R. J. 2013, MNRAS, 432, 1483 [NASA ADS] [CrossRef] [Google Scholar]
- Collister, A., Lahav, O., Blake, C., et al. 2007, MNRAS, 375, 68 [NASA ADS] [CrossRef] [Google Scholar]
- Cortes, C., & Vapnik, V. 1995, in Machine Learning, 273 [Google Scholar]
- Dubath, P., Rimoldini, L., Süveges, M., et al. 2011, MNRAS, 414, 2602 [NASA ADS] [CrossRef] [Google Scholar]
- Duda, R. O., & Hart, P. E. 1973, Pattern classification and scene analysis (New York: Wiley) [Google Scholar]
- Eales, S., Dunne, L., Clements, D., et al. 2010, PASP, 122, 499 [NASA ADS] [CrossRef] [Google Scholar]
- Fan, X. 1999, AJ, 117, 2528 [NASA ADS] [CrossRef] [Google Scholar]
- Faure, C., Anguita, T., Eigenbrod, A., et al. 2009, A&A, 496, 361 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Foltz, C. B., Chaffee, F. H., Hewett, P. C., et al. 1989, AJ, 98, 1959 [NASA ADS] [CrossRef] [Google Scholar]
- Fukugita, M., Ichikawa, T., Gunn, J. E., et al. 1996, AJ, 111, 1748 [NASA ADS] [CrossRef] [Google Scholar]
- Gao, D., Zhang, Y.-X., & Zhao, Y.-H. 2009, RA&A, 9, 220 [Google Scholar]
- Gerdes, D. W., Sypniewski, A. J., McKay, T. A., et al. 2010, ApJ, 715, 823 [NASA ADS] [CrossRef] [Google Scholar]
- Geurts, P., Ernst, D., & Wehenkel, L. 2006, Machine Learning, 63, 3 [CrossRef] [Google Scholar]
- Gilbank, D. G., Gladders, M. D., Yee, H. K. C., & Hsieh, B. C. 2011, AJ, 141, 94 [NASA ADS] [CrossRef] [Google Scholar]
- Glikman, E., Helfand, D. J., White, R. L., et al. 2007, ApJ, 667, 673 [NASA ADS] [CrossRef] [Google Scholar]
- Green, R. F., Schmidt, M., & Liebert, J. 1986, ApJS, 61, 305 [NASA ADS] [CrossRef] [Google Scholar]
- Gregg, M. D., Becker, R. H., White, R. L., et al. 1996, AJ, 112, 407 [NASA ADS] [CrossRef] [Google Scholar]
- Hewett, P. C., Foltz, C. B., & Chaffee, F. H. 1995, AJ, 109, 1498 [NASA ADS] [CrossRef] [Google Scholar]
- Hopkins, P. F., Hernquist, L., Cox, T. J., Robertson, B., & Springel, V. 2006, ApJS, 163, 50 [NASA ADS] [CrossRef] [Google Scholar]
- Huertas-Company, M., Rouan, D., Tasca, L., Soucail, G., & Le Fèvre, O. 2008, A&A, 478, 971 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Jarrett, T. H., Cohen, M., Masci, F., et al. 2011, ApJ, 735, 112 [NASA ADS] [CrossRef] [Google Scholar]
- Kaiser, N., Aussel, H., Burke, B. E., et al. 2002, in Survey and Other Telescope Technologies and Discoveries, eds. J. A. Tyson, & S. Wolff, SPIE Conf. Ser., 4836, 154 [Google Scholar]
- Lang, D., Hogg, D. W., & Schlegel, D. J. 2014, ArXiv e-prints [arXiv:1410.7397] [Google Scholar]
- Lopez, S., Barrientos, L. F., Lira, P., et al. 2008, ApJ, 679, 1144 [NASA ADS] [CrossRef] [Google Scholar]
- LSST Science Collaboration et al. 2009, ArXiv e-prints [arXiv:0912.0201] [Google Scholar]
- Martin, D. C., Fanson, J., Schiminovich, D., et al. 2005, ApJ, 619, L1 [NASA ADS] [CrossRef] [Google Scholar]
- Oguri, M., Inada, N., Strauss, M. A., et al. 2008, AJ, 135, 512 [NASA ADS] [CrossRef] [Google Scholar]
- Pedregosa, F., Varoquaux, G., Gramfort, A., et al. 2011, J. Mach. Learn. Res., 12, 2825 [Google Scholar]
- Pichara, K., & Protopapas, P. 2013, ApJ, 777, 83 [NASA ADS] [CrossRef] [Google Scholar]
- Pichara, K., Protopapas, P., Kim, D.-W., Marquette, J.-B., & Tisserand, P. 2012, MNRAS, 427, 1284 [NASA ADS] [CrossRef] [Google Scholar]
- Portinari, L., Kotilainen, J., Falomo, R., & Decarli, R. 2012, MNRAS, 420, 732 [NASA ADS] [CrossRef] [Google Scholar]
- Powers, D. M. W. 2007, Evaluation: From Precision, Recall and F-Factor to ROC, Informedness, Markedness and Correlation, Tech. Rep. SIE-07-001, School of Informatics and Engineering, Flinders University [Google Scholar]
- Quinlan, J. R. 1993, C 4.5: Programs for machine learning (Morgan Kaufmann Publishers) [Google Scholar]
- Quinlan, R. 1986, Machine Learning, 1, 81 [Google Scholar]
- Richards, G. T., Fan, X., Schneider, D. P., et al. 2001, AJ, 121, 2308 [NASA ADS] [CrossRef] [Google Scholar]
- Richards, G. T., Fan, X., Newberg, H. J., et al. 2002, AJ, 123, 2945 [NASA ADS] [CrossRef] [Google Scholar]
- Richards, G. T., Lacy, M., Storrie-Lombardi, L. J., et al. 2006, ApJS, 166, 470 [NASA ADS] [CrossRef] [Google Scholar]
- Richards, G. T., Myers, A. D., Gray, A. G., et al. 2009, ApJS, 180, 67 [NASA ADS] [CrossRef] [Google Scholar]
- Richards, J. W., Starr, D. L., Butler, N. R., et al. 2011, ApJ, 733, 10 [NASA ADS] [CrossRef] [Google Scholar]
- Rumelhart, D. E., Hinton, G. E., & Williams, R. J. 1986, Nature, 323, 533 [NASA ADS] [CrossRef] [Google Scholar]
- Sanders, D. B., Phinney, E. S., Neugebauer, G., Soifer, B. T., & Matthews, K. 1989, ApJ, 347, 29 [NASA ADS] [CrossRef] [Google Scholar]
- Schlegel, D. J., Finkbeiner, D. P., & Davis, M. 1998, ApJ, 500, 525 [NASA ADS] [CrossRef] [Google Scholar]
- Stern, D., Assef, R. J., Benford, D. J., et al. 2012, ApJ, 753, 30 [NASA ADS] [CrossRef] [Google Scholar]
- The Dark Energy Survey Collaboration. 2005, ArXiv e-prints [arXiv:astro-ph/0510346] [Google Scholar]
- Tokunaga, A. T., & Vacca, W. D. 2005, PASP, 117, 1459 [NASA ADS] [CrossRef] [Google Scholar]
- Trammell, G. B., Van den Berk, D. E., Schneider, D. P., et al. 2007, AJ, 133, 1780 [NASA ADS] [CrossRef] [Google Scholar]
- White, R. L., Becker, R. H., Gregg, M. D., et al. 2000, ApJS, 126, 133 [NASA ADS] [CrossRef] [Google Scholar]
- Willott, C. J., Delfosse, X., Forveille, T., Delorme, P., & Gwyn, S. D. J. 2005, ApJ, 633, 630 [NASA ADS] [CrossRef] [Google Scholar]
- Wolf, C. 2009, MNRAS, 397, 520 [NASA ADS] [CrossRef] [Google Scholar]
- Worseck, G., & Prochaska, J. X. 2011, ApJ, 728, 23 [NASA ADS] [CrossRef] [Google Scholar]
- Wright, E. L., Eisenhardt, P. R. M., Mainzer, A. K., et al. 2010, AJ, 140, 1868 [NASA ADS] [CrossRef] [Google Scholar]
- Wu, X.-B., Hao, G., Jia, Z., Zhang, Y., & Peng, N. 2012, AJ, 144, 49 [NASA ADS] [CrossRef] [Google Scholar]
- Yee, H. K. C. 1991, PASP, 103, 396 [NASA ADS] [CrossRef] [Google Scholar]
- Yee, H. K. C., Ellingson, E., & Carlberg, R. G. 1996, ApJS, 102, 269 [NASA ADS] [CrossRef] [Google Scholar]
- York, D. G., Adelman, J., Anderson, Jr., J. E., et al. 2000, AJ, 120, 1579 [NASA ADS] [CrossRef] [Google Scholar]
Free Access
| Issue |
A&A
Volume 584, December 2015
|
|
|---|---|---|
| Article Number | A44 | |
| Number of page(s) | 17 | |
| Section | Catalogs and data | |
| DOI | https://doi.org/10.1051/0004-6361/201525752 | |
| Published online | 18 November 2015 | |
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.