Decision trees are one of the most easy to use tools in decision analysis. Problems where decision tree branches are based on random variables have not received much attention. Th...
Mohamed Moussa, Janaka Y. Ruwanpura, George Jergea...
This paper presents an hybrid adaptive system for induction of forest of trees from data streams. The Ultra Fast Forest Tree system (UFFT) is an incremental algorithm, with consta...
Decision trees are among the most popular pattern types in data mining due to their intuitive representation. However, little attention has been given on the definition of measure...
This paper describes a hybrid tagger/parser for French (FrAG), and presents results from ongoing development work, corpus annotation and evaluation. The core of the system is a se...
A new decision tree learning algorithm called IDX is described. More general than existing algorithms, IDX addresses issues of decision tree quality largely overlooked in the arti...