Compressive sensing predicts that sufficiently sparse vectors can be recovered from highly incomplete information. Efficient recovery methods such as 1-minimization find the sparse...
We consider the problem of how to schedule t similar and independent tasks to be performed in a synchronous distributed system of p stations communicating via multiple-access chan...
Bogdan S. Chlebus, Dariusz R. Kowalski, Andrzej Li...
The paper analyses the problem of ranking accuracy in multiple criteria decision-making (MCDM) methods. The methodology for measuring the accuracy of determining the relative signi...
Edmundas Kazimieras Zavadskas, Algimantas Zakarevi...
This paper describes the design, application, and refinement of a qualitative tool designed to study sense of place. The Place Probe incorporates a range of stimuli and techniques...
David Benyon, Michael Smyth, Shaleph O'Neill, Rod ...
Research on bias in machine learning algorithms has generally been concerned with the impact of bias on predictive accuracy. We believe that there are other factors that should al...