In this paper we present lessons learned in the Evaluating Predictive Uncertainty Challenge. We describe the methods we used in regression challenges, including our winning method ...
Imbalanced data learning has recently begun to receive much attention from research and industrial communities as traditional machine learners no longer give satisfactory results. ...
The paper presents various transparency issues that have to be considered during development of object-oriented Grid applications based on virtual repositories. Higher-level transp...
Krzysztof Kaczmarski, Piotr Habela, Hanna Kozankie...
The performance contributions of SDRAM address mapping techniques in the main memory of an embedded system are studied and examined. While spatial locality existing in the access ...
We describe the extension to our previous work on a Web-based peer-to-peer open hypermedia system, the DDLS. We enrich the peer model by introducing query history, and propose the...