Most of the work on the Vapnik-Chervonenkis dimension of neural networks has been focused on feedforward networks. However, recurrent networks are also widely used in learning app...
Most complexity measures for concurrent algorithms for asynchronous shared-memory architectures focus on process steps and memory consumption. In practice, however, performance of ...
We present some quantitative performance measurements for the computing power of Programmable Active Memories (PAM), as introduced by [2]. Based on Field Programmable Gate Array (...
Logic synthesis has made impressive progress in the last decade and has pervaded digital design replacing almost universally manual techniques. A remarkable exception is computer ...
In-network aggregation is an essential primitive for performing queries on sensor network data. However, most aggregation algorithms assume that all intermediate nodes are trusted...