Abstract. The K2 metric is a well-known evaluation measure (or scoring function) for learning Bayesian networks from data [7]. It is derived by assuming uniform prior distributions...
Various problems in machine learning, databases, and statistics involve pairwise distances among a set of objects. It is often desirable for these distances to satisfy the propert...
One of the biggest problems of software development is the management of software quality, both in terms of defects and easiness of maintenance. Software production and evolution ...
Marco Scotto, Alberto Sillitti, Tullio Vernazza, G...
Face recognition is a challenging problem, complicated by variations in pose, expression, lighting, and the passage of time. Significant work has been done to solve each of these...
—This paper introduces new metrics for course evaluation. It is also proposes a ranking algorithm that classifies courses based on the previous course evaluation metrics and sugg...
Stavros Valsamidis, Ioannis Kazanidis, Sotirios Ko...