In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. These representa...
Causal models defined in terms of a collection of equations, as defined by Pearl, are axiomatized here. Axiomatizations are provided for three successively more general classes of...
The purpose of this paper is to characterize a constituent boundary parsing algorithm, using an information-theoretic measure called generalized mutual information, which serves a...
Conventional computation models restrict to particular data structures to represent states of a computation, e.g. natural numbers, s, stacks, etc. Gurevich's Abstract State Ma...
We consider the discrete, time-varying broadcast channel with memory, under the assumption that the channel states belong to a set of nite cardinality. We begin with the de nition...