AbstractThis paper focuses on human-machine communication with intelligent agents, it proposes a generic architecture with an algorithm for natural language (NL) command interpreta...
Role-limiting approaches using explicit theories of problem-solving have been successful for acquiring knowledge from domain experts1 . However most systems using this approach do...
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...
As new approaches and algorithms are developed for system diagnosis, it is important to reflect on existing approaches to determine their strengths and weaknesses. Of concern is i...
Because of the increasingly diverse and dynamic environments in which they must operate, modern middleware platforms need to explicitly support modifiability. Modifiability should...