Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
We present an approach to inductive concept learning using multiple models for time series. Our objective is to improve the efficiency and accuracy of concept learning by decomposi...
The ever growing size and complexity of both technical and business systems requires efficient software engineering approaches to keep development cost under control while still ...
This paper outlines a generic, core temporal object model that provides support for the modeling of temporal object roles. This model draws from notions introduced in some of our ...
Middleware implementation of various critical services required by large-scale and complex real-time applications on top of COTS operating system is currently an approach of growi...
Eltefaat Shokri, Patrick Crane, K. H. Kim, Chittur...