Systematic literature review on reinforcement learning in non-communicable disease interventions
There is evidence that reducing modifiable risk factors and strengthening medical and
health interventions can reduce early mortality and economic losses from non …
health interventions can reduce early mortality and economic losses from non …
Optimal interventional policy based on discrete-time fuzzy rules equivalent model utilizing with COVID-19 pandemic data
C Treesatayapun - International Journal of Machine Learning and …, 2023 - Springer
In this paper, a mathematical model of the COVID-19 pandemic is formulated by fitting it to
actual data collected during the fifth wave of the COVID-19 pandemic in Coahuila, Mexico …
actual data collected during the fifth wave of the COVID-19 pandemic in Coahuila, Mexico …
Presynaptic spike-driven plasticity based on eligibility trace for on-chip learning system
Introduction Recurrent spiking neural network (RSNN) performs excellently in spatio-
temporal learning with backpropagation through time (BPTT) algorithm. But the requirement …
temporal learning with backpropagation through time (BPTT) algorithm. But the requirement …