Abstract--The stationarity requirement for the process generating the data is a common assumption in classifiers' design. When such hypothesis does not hold, e.g., in applicat...
Abstract: Locally weighted learning (LWL) is a class of techniques from nonparametric statistics that provides useful representations and training algorithms for learning about com...
Stefan Schaal, Christopher G. Atkeson, Sethu Vijay...
This paper presents a trace-driven simulation study of two classes of retransmission timeout (RTO) estimators in the context of realtime streaming over the Internet. We explore th...
– Prognostic health management (PHM) of electronic systems presents challenges traditionally viewed as either insurmountable or otherwise not worth the cost of pursuit. Recent ch...
Douglas W. Brown, Patrick W. Kalgren, Carl S. Byin...
We present a generative model for determining the information content of a message without analyzing the message content. Such a tool is useful for automated analysis of the vast ...
Yingjie Zhou, Malik Magdon-Ismail, William A. Wall...