Training recurrent neural networks is hard. Recently it has however been discovered that it is possible to just construct a random recurrent topology, and only train a single linea...
Benjamin Schrauwen, David Verstraeten, Jan M. Van ...
— This paper describes an ontology-driven model, which integrates Bayesian Networks (BN) into the Ontology Web Language (OWL) to preserve the advantages of both. This model makes...
This paper presents a multiple-agent architecture created in Max/ MSP that generates polyphonic rhythmic patterns which continuously evolve and develop in a musically intelligent m...
— We present a new analytical technique, based on the inclusion–exclusion principle from combinatorics, for the analysis of all-optical networks with no wavelength conversion a...
This paper examines the emergence of retail clusters on a supply chain network comprised of suppliers, retailers, and consumers. An agent-based model is proposed to investigate ret...