This paper brings together work in modeling episodic memory and reinforcement learning. We demonstrate that is possible to learn to use episodic memory retrievals while simultaneo...
Distributed processing across a networked environment suffers from unpredictable behavior of speedup due to heterogeneous nature of the hardware and software in the remote machine...
M. Shahriar Hossain, M. Muztaba Fuad, Debzani Deb,...
A computationally intensive large job, granulized to concurrent pieces and operating in a dynamic environment should reduce the total processing time. However, distributing jobs a...
M. Shahriar Hossain, Kazi Muhammad Najmul Hasan Kh...
DimStiller is a system for dimensionality reduction and analysis. It frames the task of understanding and transforming input dimensions as a series of analysis steps where users t...
Stephen Ingram, Tamara Munzner, Veronika Irvine, M...
Performance indexes of the embedded real-time operating system are not isolated but interacting with each other. Two sets of elements aiming to describe the relationship between t...