A biological organism’s ability to sense and adapt to its environment is essential to its survival. Likewise, environmentally aware computing systems avail themselves to a longe...
Phillip H. Jones, James Moscola, Young H. Cho, Joh...
Traditional component models and frameworks simplified software system development by enabling developers to break software systems into independent pieces with well-defined interf...
This paper describes LS/ATN, Living Systems R Adaptive Transportation Networks, an agent-based solution we have developed to solve transportation problems in the charter business ...
In this paper, we propose an Active Learning (AL) framework for the Multi-Task Adaptive Filtering (MTAF) problem. Specifically, we explore AL approaches to rapidly improve an MTAF...
Dynamic noise adaptation (DNA) [1, 2] is a model-based technique for improving automatic speech recognition (ASR) performance in noise. DNA has shown promise on artificially mixe...