Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
The accurate quantification of proteins is important in several areas of cell biology, biotechnology and medicine. Both relative and absolute quantification of proteins is often d...
David C. Wedge, Simon J. Gaskell, Simon J. Hubbard...
This paper describes an extension to the Restricted Growth Function grouping Genetic Algorithm applied to the Consensus Clustering of a retinal nerve fibre layer data-set. Consens...
Stephen Swift, Allan Tucker, Jason Crampton, David...
Abstract. Network processors are programmable devices that can process packets at a high speed. A network processor is typified by multithreading and heterogeneous multiprocessing...
Lixia Liu, Xiao-Feng Li, Michael K. Chen, Roy Dz-C...
Abstract. We study computationally hard combinatorial problems arising from the important engineering question of how to maximize the number of connections that can be simultaneous...