We consider PAC learning of simple cooperative games, in which the coalitions are partitioned into "winning" and "losing" coalitions. We analyze the complexity...
In this paper, we generalize our formal approach to modelling PRS agents away from PRS-specific assumptions to more general theories of rationality, while not losing the concretene...
We define external memory (or I/O) models which capture space complexity and develop a general technique for deriving I/O-space trade-offs in these models from internal memory mode...
In conventional video coding, the complexity of an encoder is generally much higher than that of a decoder because of operations such as motion estimation consume significant com...
Recent theoretical results have shown that improved bounds on generalization error of classifiers can be obtained by explicitly taking the observed margin distribution of the trai...