Large-scale process variations can significantly limit the practical utility of microelectro-mechanical systems (MEMS) for RF (radio frequency) applications. In this paper we desc...
Fa Wang, Gokce Keskin, Andrew Phelps, Jonathan Rot...
In this paper, we present an integrated approach to synthesis and mapping to go beyond the combinatorial limit set up by the depth-optimal FlowMap algorithm. The new algorithm, na...
We explore the relationship between properties of the network defined by connected agents and the global system performance. This is achieved by means of a novel class of optimiza...
Universal induction solves in principle the problem of choosing a prior to achieve optimal inductive inference. The AIXI theory, which combines control theory and universal induct...
The goal of any clustering algorithm is to find the optimal clustering solution with the optimal number of clusters. In order to evaluate a clustering solution, a number of validit...