Now showing items 1-3 of 3
Stochastic parallel extreme artificial hydrocarbon networks : an implementation for fast and robust supervised machine learning in high-dimensional data
(Elsevier Ltd., 2020-03)
Artificial hydrocarbon networks (AHN) – a supervised learning method inspired on organic chemical structures and mechanisms – have shown improvements in predictive power and interpretability in comparison with other ...
A reinforcement learning method for continuous domains using artificial hydrocarbon networks
(Institute of Electrical and Electronics Engineers Inc., 2018)
Reinforcement learning in continuous states and actions has been limitedly studied in ocassions given difficulties in the determination of the transition function, lack of performance in continuous-to-discrete relaxation ...
Human activity recognition on mobile devices using artificial hydrocarbon networks
(Springer Verlag, 2018)
Human activity recognition (HAR) aims to classify and identify activities based on data-driven from different devices, such as sensors or cameras. Particularly, mobile devices have been used for this recognition task. ...