The robust spanning tree problem is a variation, motivated by telecommunications applications, of the classic minimum spanning tree problem. In the robust spanning tree problem ed...
In this paper, we propose a model named Logical Markov Decision Processes with Negation for Relational Reinforcement Learning for applying Reinforcement Learning algorithms on the ...
Performance prediction methods for component-based software systems aim at supporting design decisions of software architects during early development stages. With the increased a...
Abstract-- A major drawback of artificial neural networks (ANNs) is their black-box character. This is especially true for recurrent neural networks (RNNs) because of their intrica...
A customer of high assurance software recently sponsored a software engineering experiment in which a small real-time software system was developed concurrently by two popular sof...