Most of supervised learning algorithms assume the stability of the target concept over time. Nevertheless in many real-user modeling systems, where the data is collected over an ex...
The venerable problem solving technique of simulation finds itself inthe midstof a revolution. Where once it was regarded as a "technique of last resort" for systems ana...
Richard M. Weatherly, Annette L. Wilson, Bradford ...
Planing the operation in modern power systems requires suitable anticipation of load evolution at different levels of distribution network. Under this perspective, load forecasting...
Multiframe super-resolution (SR) reconstruction of small moving objects against a cluttered background is difficult for two reasons: a small object consists completely of "mix...
Adam W. M. van Eekeren, Klamer Schutte, Lucas J. v...
Existing virtual memory systems usually work well with applications written in C and C++, but they do not provide adequate support for garbage-collected applications. The performa...
Ting Yang, Emery D. Berger, Scott F. Kaplan, J. El...