Abstract. The algorithm selection problem aims to select the best algorithm for an input problem instance according to some characteristics of the instance. This paper presents a l...
Active learning sequentially selects unlabeled instances to label with the goal of reducing the effort needed to learn a good classifier. Most previous studies in active learning...
Use Cases have achieved wide use as a specification tool for observable behavior of systems. However, there is still much controversy, inconsistent use, and free-flowing interpreta...
: Minutiae features extracted from finger images are widely used for automated fingerprint recognition. The conformance of minutiae templates to standardised data interchange forma...
Computational social choice is an interdisciplinary eld of study at the interface of social choice theory and computer science, with knowledge owing in either direction. On the o...