Author identification models fall into two major categories according to the way they handle the training texts: profile-based models produce one representation per author while in...
We present a novel algorithm for computing a training set consistent subset for the nearest neighbor decision rule. The algorithm, called FCNN rule, has some desirable properties....
Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. We approach this setting from a case-based perspective and propo...
Abstract. We have developed a learning platform to simplify and improve teaching and practice of Computer Graphics for beginners and advanced students. Our goal is to offer a set o...
We present a new online learning algorithm in the selective sampling framework, where labels must be actively queried before they are revealed. We prove bounds on the regret of ou...