Abstract Most organisations have recently converted their physical assets into digital forms. This underlines the needs to have different types of software products to manage such ...
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
This paper presents a framework called Parallel Experiment Planning (PEP) that is based on an abstraction of how experiments are performed in the domain of macromolecular crystall...
Vanathi Gopalakrishnan, Bruce G. Buchanan, John M....
Abstract. An over-zealous machine learner can automatically generate large, intricate, theories which can be hard to understand. However, such intricate learning is not necessary i...
For both embedded systems and biological cell systems, design is a feature that defines their identity. The assembly of different components in designs of both systems can vary wid...
Simon Polstra, Tessa E. Pronk, Andy D. Pimentel, T...