Supernova Recognition Using Support Vector Machines
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[1] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[2] M. Phillips,et al. Observational Evidence from Supernovae for an Accelerating Universe and a Cosmological Constant , 1998, astro-ph/9805201.
[3] R. Ellis,et al. Measurements of $\Omega$ and $\Lambda$ from 42 high redshift supernovae , 1998, astro-ph/9812133.
[4] Chris H. Q. Ding,et al. Multi-class protein fold recognition using support vector machines and neural networks , 2001, Bioinform..
[5] R. Bacon,et al. Overview of the Nearby Supernova Factory , 2002, SPIE Astronomical Telescopes + Instrumentation.
[6] Lei Xu,et al. Improved system for object detection and star/galaxy classification via local subspace analysis , 2003, Neural Networks.
[7] Yanxia Zhang,et al. Automated clustering algorithms for classification of astronomical objects , 2004, astro-ph/0403431.
[8] W. Wood-Vasey. Rates and progenitors of type Ia supernovae , 2004, astro-ph/0505604.
[9] Hwanjo Yu,et al. SVM selective sampling for ranking with application to data retrieval , 2005, KDD '05.
[10] Zeki Erdem,et al. Ensemble of SVMs for Incremental Learning , 2005, Multiple Classifier Systems.
[11] Xiangji Huang,et al. Boosting Prediction Accuracy on Imbalanced Datasets with SVM Ensembles , 2006, PAKDD.
[12] Sungzoon Cho,et al. EUS SVMs: Ensemble of Under-Sampled SVMs for Data Imbalance Problems , 2006, ICONIP.