In a study published in the journal Information Systems Research, Texas Tech University's Shuo Yu and his collaborators ...

In some cases, creating a decent model of the environment is either not possible or too difficult. And model-based reinforcement learning can potentially be very time-consuming, which can prove to ...

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the ...

Study: Impact of a deep learning sepsis prediction model on quality of care and survival.Image Credit: Kateryna Kon / Shutterstock. Background. Sepsis is a serious condition that occurs when the ...

Best machine learning model for sparse data. To help combat these issues that arise with sparse data machine learning, there are a few things to do. First, because of the noise in the model, it’s ...

A model I often highlight is the Four S’s Learning Framework—See, Synthesize, Solve and Systematize—sequential components that promote efficient, focused learning. 1. See ...