Reinforcement learning (RL) problems constitute an important class of learning and control problems faced by artificial intelligence systems. In these problems, one is faced with ...
The explosion of the number of web-based information sources has drastically increased the need for intelligent mediation tools to be implemented between the users and these infor...
Simultaneous multithreading (SMT) seeks to improve the computation throughput of a processor core by sharing primary resources such as functional units, issue bandwidth, and cache...
Tipp Moseley, Dirk Grunwald, Joshua L. Kihm, Danie...
The paper studies a distributed implementation method for the BIP (Behavior, Interaction, Priority) component framework for modeling heterogeneous systems. BIP offers two powerful ...
Ananda Basu, Philippe Bidinger, Marius Bozga, Jose...
: Problem-based learning (PBL) is becoming increasingly popular in medical education as a means of equipping students with the required clinical reasoning skills. However, faculty ...