Some of the models used to forecast everything from financial trends to animal populations in an ecosystem are incorrect, ...

A recent study from Oregon State University estimated that more than 3,500 animal species are at risk of extinction because of factors including habitat alterations, natural resources being ...

We propose a procedure associated with the idea of the E-M algorithm for model selection in the presence of missing data. The idea extends the concept of parameters to include both the model and the ...

The global banking sector is navigating unprecedented challenges volatile markets, evolving regulatory demands, and increasing customer expectations for speed and accuracy. Traditional risk assessment ...

Machine learning algorithms are used everywhere from a smartphone to a spacecraft. They tell you the weather forecast for tomorrow, translate from one language into another, and suggest what TV series ...

Artificial-intelligence programs, like the humans who develop and train them, are far from perfect. Whether it’s machine-learning software that analyzes medical images or a generative chatbot, such as ...

A multivariate Gaussian graphical Markov model for an undirected graph G, also called a covariance selection model or concentration graph model, is defined in terms of the Markov properties, i.e.

The researchers argue that the integration of explainable AI into clinical decision-making pipelines could reshape cancer ...