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pro vyhledávání: '"Li, Shuai"'
Autor:
Li, Shuai
We consider a new setting of online clustering of contextual cascading bandits, an online learning problem where the underlying cluster structure over users is unknown and needs to be learned from a random prefix feedback. More precisely, a learning
Externí odkaz:
http://arxiv.org/abs/1711.08594
Publikováno v:
Final version published in Proceedings of the 22nd ACM Conference on Knowledge Discovery and Data Mining (KDD 2016), San Francisco, US, 2016, pp. 1625-1634
The estimation of class prevalence, i.e., the fraction of a population that belongs to a certain class, is a very useful tool in data analytics and learning, and finds applications in many domains such as sentiment analysis, epidemiology, etc. For ex
Externí odkaz:
http://arxiv.org/abs/1605.04135