Science News：
報告人：牛書(shū)
Journal Club Public Talk:
報告人：胡茂凱
報告題目：Using Machine Learning for Automated Transient Identification in Supernova Survey
報告摘要：Abstract: For years, Machine learning has been used for several aspects of astrophysics, such as the surveys for weak lens or supernovae. On this talk, I will introduce some basic conception of machine learning and its application on automated transient identification in supernova survey. The results show that random forests might be the most efficient algorithms among three types of algorithms for machine learning, including support vector machines, neural networks and random forests.
DOI:10.1088/0004-6256/150/3/82
時(shí)間：2016年11月8日 12:15－1:45pm
地點(diǎn)：紫臺619會(huì )議室