Creating a robust image classification system depends on having enough data with which one can adequately train and validate the model. If there is not enough available data, this...
Abstract. There is a common availability of classification terms in online text collections and digital libraries, such as manually assigned keywords or key-phrases from a controll...
As the web expands exponentially, the need to put some order to its content becomes apparent. Hypertext categorization, that is the automatic classification of web documents into ...
In the third of an ongoing series of exploratory sound information display studies, we augmented a dual task with a mixed-use auditory display designed to provide relevant alert i...
Derek P. Brock, James A. Ballas, Janet L. Stroup, ...
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...