In this paper, we describe a means for automatically building very large neural networks (VLNNs) from definition texts in machine-readable dictionaries, and demonstrate the use of...
Scientists can gain much more insight from their simulations if they are enabled to change simulation parameters on the y while observing the results immediately. A crucial aspect...
Jurriaan D. Mulder, Robert van Liere, Jarke J. van...
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
In this paper, we explore the use of a particular multistage adaptation algorithm for a variety of adaptive filtering applications where the structure of the underlying process to...
The Solar-powered Autonomous Underwater Vehicle (SAUV) platform has been developed over the past several years as a means to achieve long-endurance cooperative missions, and the d...
Radim Bartos, Steven G. Chappell, Rick Komerska, M...