Graphical models are usually learned without regard to the cost of doing inference with them. As a result, even if a good model is learned, it may perform poorly at prediction, be...
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
One of the essential features in modern computer systems is context switching, which allows multiple threads of execution to time-share a limited number of processors. While very ...
Fang Liu, Fei Guo, Yan Solihin, Seongbeom Kim, Abd...
Intelligent software agents (agents) adhering to the action selection paradigm have only one primary task that they need accomplish at any given time: to choose their next action....
Ryan James McCall, Stan Franklin, David Friedlande...
Abstract. Software performance prediction methods are typically validated by taking an appropriate software system, performing both performance predictions and performance measurem...