We consider online learning where the target concept can change over time. Previous work on expert prediction algorithms has bounded the worst-case performance on any subsequence ...
This paper introduces a new measurement, robustness, to measure the quality of machine-discovered knowledge from real-world databases that change over time. A piece of knowledge i...
Multicore architectures featuring specialized accelerators are getting an increasing amount of attention, and this success will probably influence the design of future High Perfor...
Abstract. In this study we propose a novel model for the representation of biological networks and provide algorithms for learning model parameters from experimental data. Our appr...
As the process technology advances into the deep submicron era, interconnect plays a dominant role in determining circuit performance. Buffer insertion/sizing and wire sizing are ...
Nicholas Chia-Yuan Chang, Yao-Wen Chang, Iris Hui-...