Anytime learning and classification for online applications
Geoffrey I. Webb · Active Media Technology · 2006
Many online applications of machine learning require fast classification and hence utilize efficient classifiers such as naive Bayes. However, outside periods of peak computational load, additional computational resources will often be available. Anytime classification can use whatever computational resources may be available at classification time to improve the accuracy of the classifications made.