Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...
A new algorithmic framework that can predict flooding could help save lives and reduce the devastation as climate change drives more intense and unpredictable rainfall.
Self-organizing maps, and the machine learning protocol involved in creating them, have been in use since the 1980s, Lawrence ...
A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been ...
Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer ...
Binary classification is a type of image classification where you essentially train a model on two different labelled objects ...