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...
We present a Two-Stage Machine Learning (ML) model as a data mining method to develop practice guidelines and apply it to the problem of dementia staging. Dementia staging in clin...
Subramani Mani, William Rodman Shankle, Malcolm B....
Abstract—Learning dynamical systems is one of the important problems in many fields. In this paper, we present an algorithm for learning non-linear dynamical systems which works...
Abstract--Memory accesses are a major cause of energy consumption for embedded systems and the stack is a frequent target for data accesses. This paper presents a fully software te...
—The computational Grid concept is gaining great popularity as the best way to deliver access to a wide range of distributed computing and data resources. But, as Grids move from...