Akaike Information Criteria or the AIC is a data-driven metric for evaluating several models for the same set of data. It was calculated...

A term used to describe systems that can learn or adjust from data in use, such as neural networks or other dynamic control systems. ~ Jai...

  ADABOOST.MH is a multi-class and multi-label data extension of the ADABOOST algorithm. See Also:  multi-class, multi-label. ~ Jai Krishn...

APACHE is a system that predicts a person's likelihood of dying in a hospital. The algorithm employs 27 factors to predict a patient...

  A machine learning system's accuracy is defined as the proportion of accurate predictions or classifications the model makes over a gi...

The Aalborg architecture offers a way for calculating marginals in a belief net's join tree representation. It is the architecture of ch...