This paper presents an application of Boosting for classifying labeled graphs, general structures for modeling a number of real-world data, such as chemical compounds, natural lan...
We describe the application of kernel methods to Natural Language Processing (NLP) problems. In many NLP tasks the objects being modeled are strings, trees, graphs or other discre...
Abstract. This paper presents a unifying framework to model casebased reasoning recommender systems (CBR-RSs). CBR-RSs have complex architectures and specialize the CBR problem sol...
In many applications surfaces containing a large number of primitives occur. Geometry compression reduces storage space and transmission time for such models. A special case is gi...
: Teleworking enables a more flexible scheduling of working time and places of work on the way to the modern information society. The rapid development of cooperative application s...