The data of interest are assumed to be represented as N-dimensional real vectors, and these vectors are compressible in some linear basis B, implying that the signal can be recons...
One of the new trends in genetic fuzzy systems (GFS) is the use of evolutionary multiobjective optimization (EMO) algorithms. This is because EMO algorithms can easily handle two c...
"These lecture notes treat various versions of the so-called “fundamental theorem
of asset pricing”. Many students are familiar with statements about models for
financia...
The theory of compressive sensing has shown that sparse signals can be reconstructed exactly from many fewer measurements than traditionally believed necessary. In [1], it was sho...
Empirical performance evaluation is the process of measuring and calculating performance metrics of deployed software systems. It is a part of performance validation during testin...