Machine learning (ML) has become a critical driver of business success ... It is designed to handle a wide range of applications, including function regression, pattern recognition, time series ...

It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the ...

The initial search included all relevant keywords. They were (artificial intelligence) OR (machine learning) OR (logistic regression) OR (natural language processing) OR (neural network) OR (data ...

Abstract: Recently, the machine unlearning has emerged as a popular method ... In this article, we propose the first unlearning attack dubbed unlearning attack for regression learning (UnAR) to ...

Machine learning algorithms utilizing electronic health records can effectively predict two-year dementia risk among American Indian/Alaska Native adults aged 65 years and older, according to a ...

To address these gaps, we propose a depth-guided product recognition network, which consists of two novel components: a depth-aware feature pyramid network (DFPN) and a depth-aware regression head ...