It is a common practice to model an object for detection tasks as a boosted ensemble of many models built on features of the object. In this context, features are defined as subre...
Abstract. Failures are unavoidable in many circumstances. For example, an agent may fail at some point to perform a task in a dynamic environment. Robust systems typically have mec...
This work is devoted to lattice-based information representation of correlations among delivery criteria in transport logistics. The number of delivery criteria, their ranking acc...
Semi-supervised learning aims at taking advantage of unlabeled data to improve the efficiency of supervised learning procedures. For discriminative models however, this is a chall...
E-government in South Africa has a particularly important historical and social context due to the legacy of apartheid. As a result, a ten year egovernment implementation horizon h...