Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
—The trends for pushing more operational intelligence towards network elements to achieve more context-aware and self-managing behavior often requires elements to gather network ...
John Keeney, David Lewis, Declan O'Sullivan, Antoi...
Abstract— In some remote sensing applications, the functional relationship between the source being observed and the sensor readings may not be known. Because of communication co...
Abstract. In Data Warehouse (DW) scenarios, ETL (Extraction, Transformation, Loading) processes are responsible for the extraction of data from heterogeneous operational data sourc...
This manuscript proposes a guiding methodology to obtain a software system that supports the execution of the business processes existing within an organization. The methodology pr...
Francisco J. Duarte, Ricardo Jorge Machado, Jo&ati...