Statistical models on full and partial rankings of n items are often of limited practical use for large n due to computational consideration. We explore the use of non-parametric ...
The problem of model selection is considerably important for acquiring higher levels of generalization capability in supervised learning. In this paper, we propose a new criterion ...
Modelling Large Urban Environments using traditional modelling techniques would prove too time consuming a process. Consequently a method is required for generating large urban en...
We present an overview of a tutorial on model management--an approach to solving data integration problems, such as data warehousing, e-commerce, object-to-relational mapping, sch...
We propose a computational model of text reuse tailored for ancient literary texts, available to us often only in small and noisy samples. The model takes into account source alte...