Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...
Mobile agents, programs that move within a system performing a set of tasks, are an active field of research. The focus of current research, however, is on the development of exe...
Modeling and simulation of very large systems introduces a number of issues that are not seen in the modeling of simpler systems. These arise because the resource requirements for...
Background: Identifying candidate genes in genetic networks is important for understanding regulation and biological function. Large gene expression datasets contain relevant info...
Anup Parikh, Eryong Huang, Christopher Dinh, Blaz ...
This paper describes an attempt to devise a knowledge discovery model that is inspired from the two theoretical frameworks of selectionism and constructivism in human cognitive le...