This paper presents an algorithm for extract ing propositions from trained neural networks. The algorithm is a decompositional approach which can be applied to any neural networ...
We propose a new approach to the problem of searching a space of policies for a Markov decision process (MDP) or a partially observable Markov decision process (POMDP), given a mo...
Strong and weak simulation relations have been proposed for Markov chains, while strong simulation and strong probabilistic simulation relations have been proposed for probabilisti...
Lijun Zhang, Holger Hermanns, Friedrich Eisenbrand...
We investigate the computational complexity of finding an element of a permutation group H Sn with a minimal distance to a given Sn, for different metrics on Sn. We assume that...
This paper studies a nonlinear vector precoding scheme which inverts the wireless multiple-input multiple-output (MIMO) channel at the transmitter so that simple symbol-bysymbol de...