This paper addresses the problem of revising a Dung-style argumentation framework by adding finitely many new arguments which may interact with old ones. We study the behavior of t...
Obtaining labeled data is a significant obstacle for many NLP tasks. Recently, online games have been proposed as a new way of obtaining labeled data; games attract users by being...
David Vickrey, Aaron Bronzan, William Choi, Aman K...
We consider an online learning scenario in which the learner can make predictions on the basis of a fixed set of experts. We derive upper and lower relative loss bounds for a cla...
For circuits where there may be latches with no reset line, we show how to replace some of them with combinational logic. All previous work in sequential optimization by latch rem...
We present a refined model for Role Based Access Control policies and define a risk measure for the model, which expresses elements of the operational, combinatorial and conflict ...
Benjamin Aziz, Simon N. Foley, John Herbert, Garre...