Learning with stochastic inputs and adversarial outputs
نویسندگان
چکیده
منابع مشابه
Learning with stochastic inputs and adversarial outputs
Most of the research in online learning is focused either on the problem of adversarial classification (i.e., both inputs and labels are arbitrarily chosen by an adversary) or on the traditional supervised learning problem in which samples are independent and identically distributed according to a stationary probability distribution. Nonetheless, in a number of domains the relationship between ...
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ژورنال
عنوان ژورنال: Journal of Computer and System Sciences
سال: 2012
ISSN: 0022-0000
DOI: 10.1016/j.jcss.2011.12.027