Modeling Light Curves for Improved Classification
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[1] Christina Gloeckner,et al. Modern Applied Statistics With S , 2003 .
[2] Ciro Donalek,et al. Flashes in a star stream: Automated classification of astronomical transient events , 2012, 2012 IEEE 8th International Conference on E-Science.
[3] Kirk D. Borne,et al. Scientific Data Mining in Astronomy , 2009, Next Generation of Data Mining.
[4] S. G. Djorgovski,et al. Discovery, classification, and scientific exploration of transient events from the Catalina Real-time Transient Survey , 2011, 1111.0313.
[5] A. J. Drake,et al. FIRST RESULTS FROM THE CATALINA REAL-TIME TRANSIENT SURVEY , 2008, 0809.1394.
[6] A. A. Mahabal,et al. The Catalina Real-Time Transient Survey (CRTS) , 2011, 1102.5004.
[7] Sergey E. Koposov,et al. THE CATALINA SURVEYS PERIODIC VARIABLE STAR CATALOG , 2014, 1405.4290.
[8] J. Richards,et al. ON MACHINE-LEARNED CLASSIFICATION OF VARIABLE STARS WITH SPARSE AND NOISY TIME-SERIES DATA , 2011, 1101.1959.
[9] R. Webbink,et al. A Catalog and Atlas of Cataclysmic Variables: The Final Edition , 2005, astro-ph/0602278.
[10] Kurt Hornik,et al. kernlab - An S4 Package for Kernel Methods in R , 2004 .
[11] Carl E. Rasmussen,et al. Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.
[12] Adam A. Miller,et al. ACTIVE LEARNING TO OVERCOME SAMPLE SELECTION BIAS: APPLICATION TO PHOTOMETRIC VARIABLE STAR CLASSIFICATION , 2011, 1106.2832.
[13] Andy Liaw,et al. Classification and Regression by randomForest , 2007 .
[14] Pavlos Protopapas,et al. Semi-parametric Robust Event Detection for Massive Time-Domain Databases , 2013, 1301.3027.
[15] B. Silverman,et al. Functional Data Analysis , 1997 .
[16] Ciro Donalek,et al. A novel variability-based method for quasar selection: evidence for a rest-frame ∼54 d characteristic time-scale , 2013, 1401.1785.
[17] Stephen R. Kane,et al. CHARACTERIZING THE VARIABILITY OF STARS WITH EARLY-RELEASE KEPLER DATA , 2010, 1009.1840.
[18] S. G. Djorgovski,et al. Feature selection strategies for classifying high dimensional astronomical data sets , 2013, 2013 IEEE International Conference on Big Data.