In this paper, we propose a framework for predicting the performance of a vision algorithm given the input image or video so as to maximize the algorithm's ability to provide...
Dynamic voltage and frequency scaling (DVFS) is a wellknown technique for gaining energy savings on desktop and laptop computers. However, its use in server settings requires care...
Shuyi Chen, Kaustubh R. Joshi, Matti A. Hiltunen, ...
SimStudent is a machine-learning agent that learns cognitive skills by demonstration. SimStudent was originally built as a building block for Cognitive Tutor Authoring Tools to hel...
Noboru Matsuda, William W. Cohen, Jonathan Sewall,...
Transient Signal Analysis (TSA) is a Go/No-Go device testing method that is based on the analysis of voltage transients at multiple test points. In this paper, a technique based o...
James F. Plusquellic, Amy Germida, Jonathan Hudson...
Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
Frank Hutter, Youssef Hamadi, Holger H. Hoos, Kevi...