Within-network regression addresses the task of regression in partially labeled networked data where labels are sparse and continuous. Data for inference consist of entities associ...
In this paper, we propose a novel framework called SmartMiner for web usage mining problem which uses link information for producing accurate user sessions and frequent navigation...
Murat Ali Bayir, Ismail Hakki Toroslu, Ahmet Cosar...
For compression of 3-D dynamic meshes, the novel framework of so-called frame-based animated mesh compression (FAMC) has been introduced recently. In this context, we propose an e...
In this paper we present design and development of the semantic grid services for the flood forecasting simulations. We will highlight the corresponding architecture and the proc...
Marian Babik, Emil Gatial, Ondrej Habala, Ladislav...
Support vector machines (SVMs) have proven to be a powerful technique for pattern classification. SVMs map inputs into a high dimensional space and then separate classes with a hy...
William M. Campbell, Joseph P. Campbell, Douglas A...