— Backpropagation through time is a very popular discrete-time recurrent neural network training algorithm. However, the computational time associated with the learning process t...
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
Agents that operate in a multi-agent system can benefit significantly from adapting to other agents while interacting with them. This work presents a general architecture for a ...
This paper discusses issues related with learning resources brokerage systems. It introduces a market-based modeling approach and proposes a virtual market model design of a broke...
The paper presents a curriculum design for, and subsequent evaluation of, a communications systems course using problem-based learning (PBL) as the instructional methodology. It de...