Free Access
Issue |
A&A
Volume 422, Number 3, August II 2004
|
|
---|---|---|
Page(s) | 1113 - 1121 | |
Section | Astronomical instrumentation | |
DOI | https://doi.org/10.1051/0004-6361:20040141 | |
Published online | 16 July 2004 |
- Allende Prieto, C., Rebolo, R., Lopez, R. J. G., et al. 2000, AJ, 120, 1516 [NASA ADS] [CrossRef] [Google Scholar]
- Andreon, S., Gargiulo, G., Longo, G., et al. 2000, MNRAS, 319, 700 [NASA ADS] [CrossRef] [Google Scholar]
- Bailer-Jones, C. A. L., Irwin, M., & von Hippel, T. 1998, MNRAS, 298, 361 [NASA ADS] [CrossRef] [Google Scholar]
- Bazell, D., & Peng, Y. 1998, ApJS, 116, 47 [NASA ADS] [CrossRef] [Google Scholar]
- Bertin, E., & Arnout, S. 1996, A&AS, 117, 393 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Bishop, C. M. 1995, Neural Networks for Pattern Recognition (Oxford University Press) [Google Scholar]
- Böhringer, H. 1996, in X-ray Studies of Clusters of Galaxies, Proc. Röntgenstrahlung from the Universe, Garching, ed. H. U. Zimmermann, J. E. Trümper, & H. Yorke, MPE Rep., 263, 537 [Google Scholar]
- Burges, C. J. C. 1998, Data Mining and Knowledge Discovery, 2, 121 [Google Scholar]
- Cortiglioni, F., Mähönen, P., Hakala, P., et al. 2001, ApJ, 556, 937 [NASA ADS] [CrossRef] [Google Scholar]
- de Vaucouleurs, G., de Vaucouleurs, A., Corwin, H. G., et al. 1991, Third Reference Catalogue of Bright Galaxies (RC3) (New York: Springer-Verlag) [Google Scholar]
- Folkes, S. R., Lahav, O., & Maddox, S. J. 1996, MNRAS, 283, 651 [NASA ADS] [Google Scholar]
- Goderya, S. N., & McGuire, P. C. 2000, 197th A&AS Meeting, 32, 1526 [Google Scholar]
- Gunn, S. R. 1998, Support Vector Machines for Classification and Regression, ISIS Technical Report ISIS-1-98, Image Speech & Intelligent Systems Research Group, University of Southapton [Google Scholar]
- He, X.-T., Wu, J.-H, Yuan, Q.-R., et al. 2001, AJ, 121, 1863 [NASA ADS] [CrossRef] [Google Scholar]
- Humphreys, R. M., Karypis, G., Hasan, M., et al. 2001, A&AS, 199, 10, 15 [Google Scholar]
- Kohonen, T. 1989, Self-Organization and Associative Memory, 3rd ed. (Berlin: Springer) [Google Scholar]
- Kohonen, T. 1990, Proc. IEEE, 78, 1464 [Google Scholar]
- Kohonen, T. 1995, Self-Organization Maps (Berlin: Springer) [Google Scholar]
- Kohonen, T., Hynninen, J., Kangas, J., et al. 1995, Learning Vector Quantization Program Package, Version 3.1 [Google Scholar]
- Krautter, J., Zickgraf, F.-J., Appenzeller, I., et al. 1999, 350, 743 [Google Scholar]
- Lahav, O., Naim, A., Sodre, L. Jr., et al. 1996, MNRAS, 383, 207 [NASA ADS] [CrossRef] [Google Scholar]
- Mattox, J. R., Schachter, J., Molnar, L., et al. 1997, ApJ, 481, 95 [NASA ADS] [CrossRef] [Google Scholar]
- Mähönen, P. H., & Hakala, P. J. 1995, ApJ, 452, L77 [NASA ADS] [CrossRef] [Google Scholar]
- Miller, A. S., & Coe, M. J. 1996, MNRAS, 279, 293 [NASA ADS] [CrossRef] [Google Scholar]
- Monet, D. B. A., Canzian, B., Dahn, C., et al. 1998, VizieR On-line Data Catalog: I/252 [Google Scholar]
- Naim, A., Lahav, O., Sodre, L. Jr., et al. 1995, MNRAS, 275, 567 [NASA ADS] [CrossRef] [Google Scholar]
- Odewahn, S. C., Stockwell, E. B., Pennington, R. L., et al. 1992, AJ, 103, 318 [NASA ADS] [CrossRef] [Google Scholar]
- Pietsch, W., Bischoff, K., Boller, Th., et al. 1998, A&A, 333, 48 [NASA ADS] [Google Scholar]
- Qu, Ming, Shih, Frank Y., Jing, Ju, & Wang, Haimin 2003, Sol. Phys., 217, 157 [NASA ADS] [CrossRef] [Google Scholar]
- Motch, C., Guillout, P., Haberl, F., et al. 1998, A&AS, 132, 341 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Rutledge, R. E., Brunner, R. J., & Prince, T. A. 2000, ApJS, 131, 335 [NASA ADS] [CrossRef] [Google Scholar]
- Stitson, M. O., Weston, J. A. E., Gammerman, A., et al. 1996, Theory of Support Vector Machines, Technical Report CSD-TR-96-17, Department of Computer Science, Royal Holloway College, University of London [Google Scholar]
- Storrie-Lombardi, M. C., Lahav, O., Sodre, L. Jr., et al. 1992, MNRAS, 259, 8 [Google Scholar]
- Stocke, J. T., Morris, S. L., Gioia, I. M., et al. 1991, ApJS, 76, 813 [NASA ADS] [CrossRef] [Google Scholar]
- Szalay, A., & Gray, J. 2001, Science, 293, 2037 [NASA ADS] [CrossRef] [Google Scholar]
- Vapnik, V. N. 1995, The Nature of Statistical Learning Theory (New York: Springer) [Google Scholar]
- Trümper, J. 1983, Adv. Space Res., 2, 241 [Google Scholar]
- Véron-Cetty, M. P., & Véron, P. 1998, ESO Scientific Report, 18 [Google Scholar]
- Véron-Cetty, M. P., & Véron, P. 2000, ESO Scientific Report, 19 [Google Scholar]
- Voges, W., Aschenbach, B., Boller, Th., et al. 1999, A&A, 349, 389 [NASA ADS] [Google Scholar]
- Weaver, W. B. 2000, ApJ, 541, 298 [NASA ADS] [CrossRef] [Google Scholar]
- Weston, J., & Watkins, C. 1998, Multi-class Support Vector Machines, Technical Report CSD-TR-98-04 [Google Scholar]
- Wozniak, P. R., Akerlof, C., Amrose, S., et al. 2001, A&AS, 199, 130, 04 [Google Scholar]
- Zhang, Y., & Zhao, Y. 2003, PASP, 115, 1006 [Google Scholar]
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