movements are learning as the technology emerges. Self-driving cars represent a high-stakes test of the powers of machine … learning, as well as a test case for social learning in technology governance. Society is learning about the technology while … learning, what are they learning and how are they learning?’ Focusing on the successes and failures of social learning around …

dimensionality. Later, reinforcement learning (RL) was introduced to overcome some deficiencies in the traditional DP mainly related … with Q-learning shows the superiority of the SENN, especially during drought periods. Moreover, the SENN performs better in … applications to multi-reservoir systems, (2) a comparative analysis between SENN and Q-learning especially in prolonged drought …

deep learning models, including deep belief networks and deep Boltzmann machines. We show that (a) these deep generative …

Pandemic Effect of COVID 19 on the Nigeria Economic, Crude Oil as a Measure Parameter Using Machine Learning -- Part II … machine learning models in Nigeria -- 8. Nigerian COVID-19 Incidence Modelling and Forecasting with Univariate Time Model -- 9 …-Term Forecast of Covid-19 Spread in Nigeria -- Part 6: COVID-19 Detection -- 21. Attention based Residual Learning Network for COVID …

conceptual framework for statistical arbitrage and develop a novel deep learning solution, which finds commonality and time … portfolios with one of the most powerful machine learning time-series solutions, a convolutional transformer. Last, we use these …