Thunderstruck is based on a new approach to artificial intelligence that is not based on off the shelf machine learning algorithms but a powerful combination of Deep Learning and Dynamic Bayesian ...

Description This course offers a rigorous yet practical exploration of Bayesian reasoning for data-driven inference and decision-making. Students will gain a deep understanding of probabilistic ...

Unlike older approaches to machine reasoning, in which each causal connection (“rain makes grass wet”) had to be explicitly taught, programs based on probabilistic approaches like Bayesian ...

In this paper, a learning status management system in an intelligent classroom is proposed. Several types of information about students were detected and collected by both sensor technology and image ...

Long short-term memory (LSTM) networks are a promising machine learning approach and have demonstrated good performance in streamflow predictions. However, due to its data-hungry nature, most LSTM ...