Design patterns embody proven solutions to recurring design problems. Ever since the gang of four popularized the concept, researchers have been trying to develop methods for repre...
Abstract. The definition of a domain ontology is a complex activity that requires two kinds of expertise: a deep knowledge of the domain to be modeled and a good level of familiari...
Decision trees are a widely used knowledge representation in machine learning. However, one of their main drawbacks is the inherent replication of isomorphic subtrees, as a result...
Christophe Mues, Bart Baesens, Craig M. Files, Jan...
This paper presents a modified optimal control model of drug scheduling in cancer chemotherapy and a new adaptive elitist-population based genetic algorithm (AEGA) to solve it. Wo...
When implementing a tutoring system that attempts a deep understanding of students’ natural language explanations, there are three basic approaches to choose between; symbolic, i...