The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
When learning a classical instrument, people often either take lessons in which an existing body of “technique” is delivered, evolved over generations of performers, or in som...
The purpose of this paper is to present a high-level discussion based on ongoing research with the aim of providing support to educational practitioners based on real shareability...
Miguel Baptista Nunes, Robert Pasley, Maggie McPhe...
Abstract. This paper introduces Deft, a new multitask learning approach for rule learning algorithms. Like other multitask learning systems, the one proposed here is able to improv...
Abstract. Although similarity measures play a crucial role in CBR applications, clear methodologies for defining them have not been developed yet. One approach to simplify the de...