Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
We propose a new complexity measure for movement of objects, the smoothed motion complexity. Many applications are based on algorithms dealing with moving objects, but usually data...
Valentina Damerow, Friedhelm Meyer auf der Heide, ...
When dealing with genres of web pages, there are two important aspects to be taken into account. On the one hand, the web is fluid, unstable and fast-paced. On the other hand, gen...
Tree models are valuable tools for predictive modeling and data mining. Traditional tree-growing methodologies such as CART are known to suffer from problems including greediness,...
Assembly is an NP-Hard problem, which involves comparing fragments that have a time complexity of O(n2 ). This paper presents a parallel approach for sequence assembly. The parall...
Sara Nasser, Adrienne Breland, Frederick C. Harris...