In this article we approach one key aspect of the utility problem in explanationbased learning (EBL) | the expensive-rule problem | as an avoidable defect in the learning procedure. In particular, we examine the relationship between the cost of solving a problem without learning versus the cost of using a learned rule to provide the same solution, and refer to a learned rule as expensive if its...

OBJECTIVE To evaluate the academic satisfaction and importance among traditional learning (TL) and problem based learning (PBL) medical students, and to further evaluate the areas of concern in the academic education from the student's point of view. METHODS A cross sectional study was conducted at the College of Medicine, King Saud University, Riyadh, Kingdom of Saudi Arabia from May to June...

Disciple is a shell for developing intelligent agents where an expert teaches the agent how to perform domain-specific tasks in a way that resembles the way the expert would teach an apprentice. This paper discusses the application of Disciple to the development of educational agents that generate test questions for students, together with hints, answers and explanations, and assist in the asse...

Cost-Sensitive Learning is a type of learning in data mining that takes the misclassification costs (and possibly other types of cost) into consideration. The goal of this type of learning is to minimize the total cost. The key difference between cost-sensitive learning and cost-insensitive learning is that cost-sensitive learning treats the different misclassifications differently. Costinsensi...

BACKGROUND Reliable models for massive hepatectomy in the mouse are required for experimental liver research. METHODS We analyzed anatomical findings in 100 mice following massive hepatectomy induced by liver reduction >70%. The impact of various factors in the different models was also analyzed, including learning curves, operative time, survival curves and histopathological findings. RESU...

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