Automated probabilistic classification of transients and variables

Astronomische Nachrichten

Volumn 329, Issue 3, 2008, Pages 288-291

  Mahabal, A ^a   Djorgovski, S G ^a   Turmon, M ^b   Jewell, J ^b   Williams, R R ^a   Drake, A J ^a   Graham, M G ^a   Donalek, C ^a   Glikman, E ^a  

^a CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^b CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Astronomical databases: miscellaneous; Methods: data analysis; Methods: statistical; Surveys

Indexed keywords

EID: 55549097138     PISSN: 00046337     EISSN: 15213994     Source Type: Journal    
DOI: 10.1002/asna.200710943     Document Type: Conference Paper

References (14)

1. Cover, T., Thomas, J.: 1991, Elements of Information Theory, Wiley
2. Cristianini, N., Shawe-Taylor, J.: 2000, An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods, CUP, Cambridge
3. Djorgovski, S.G., et al.: 2006, in: Y.Y. Tang et al. (eds.), Pattern Recognition, 18th ICPR, p. 856
4. Djorgovski, S.G., et al. (Palomar-Quest team): 2008, AN 329, 263
5. Domingos, P., Pazzani, M.: 1997, MLear 29, 103
6. Fan, R.E., Chen, P.H., Lin, C.J.: 2005, JMLearRes 6, 1889
7. Hand, D.J., Yu.K.: 2001, International Statistical Review 69, 385
8. John, G., Langley, P.: 1995, in: P. Besnard, S. Hanks (eds.), Uncertainty in Artificial Intelligence, UAI-95, p. 338
9. Loredo, T.J., Chernoff, D.F.: 2003, in: E.D. Feigelson, G.J. Babu (eds.), Statistical Challenges in Modern Astronomy III, p. 57
10. Ripley, B.D.: 1996, Pattern Recognition and Neural Networks, Cambridge Univ. Press
11. Scholkopf, B., Smola, A.J.: 2001, Learning with Kernels: SVMs, Regularization, Optimization, and Beyond, MIT Press
12. Silverman, B.W.: 1986, Density Estimation for Statistics and Data Analysis, Chapman and Hall publ.
13. Turmon, M., Pap, J.M., Mukhtar, S.: 2002, ApJ 568, 396
14. Vapnik, V.: 1995, The Nature of Statistical Learning Theory, Springer-Verlag, New York