The PECO framework is a knowledge representation for formulating clinical questions. Queries are decomposed into four aspects, which are Patient-Problem (P), Exposure (E), Compari...
In this paper the interference channel is extended by additional relay nodes in order to investigate the influence of interference on the design and performance of relaying protoco...
HPC scientific computational models are notoriously difficult to develop, debug, and maintain. The reasons for this are multifaceted — including difficulty of parallel programm...
Steve Quenette, Louis Moresi, P. D. Sunter, Bill F...
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...
We present a novel framework for answering complex questions that relies on question decomposition. Complex questions are decomposed by a procedure that operates on a Markov chain...
Sanda M. Harabagiu, V. Finley Lacatusu, Andrew Hic...