Naïve Bayes is a well-known effective and efficient classification algorithm, but its probability estimation performance is poor. Averaged One-Dependence Estimators, simply AODE,...
Abstract. Learning from multi-relational domains has gained increasing attention over the past few years. Inductive logic programming (ILP) systems, which often rely on hill-climbi...
In this demonstration, we show three interrelated tools intended to improve different aspects of the quality of data warehouse solutions. Firstly, the deductive object manager Con...
Michael Gebhardt, Matthias Jarke, Manfred A. Jeusf...
This paper describes the use of two machine learning techniques, naive Bayes and decision trees, to address the task of assigning function tags to nodes in a syntactic parse tree....
The evolution of Artificial Intelligence has passed through many phases over the years, going from rigorous mathematical grounding to more intuitive bio-inspired approaches. Despit...
Omer Qadir, Jerry Liu, Jon Timmis, Gianluca Tempes...