Lecture : Some non - martingale learning models
نویسندگان
چکیده
In the previous lectures we discussed Bayesian martingale models; in these two lectures we turn our attention to non-martingale learning models. We first look at a Bayesian model introduced by Gale and Kariv [2], and then briefly discuss the special case of the Gale-Kariv model on the complete graph, as analyzed by Mossel and Tamuz [6]. Next, we study heuristic models of repeated voting: we first look at the DeGroot model, and then we analyze the repeated majority model.
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