Statistical techniques vs. SEES algorithm : an application to a small business environment

As we use a logistic regression framework to derive the coefficients of the index, we can also interpret the stress index as a probability of the UK financial markets being in a

Next, we are going to present the code generation strategy used in the implementation of the previous execution model in a well-known Windows95 environment, which opens up

As a proof of concept, we develop the Longest Common Subsequence (LCS) algorithm as a similarity metric to compare the user sequences, where, in the process of adapting this

In this thesis we have presented several modelling techniques that can improve the cur- rent state-of-art of statistical cosmology: an improved halo modelling, a more realistic

In this section I will talk about the techniques that I have applied to be able to texture the complete terrain, as well as the techniques that I have used to break the

In order to check the perfor- mance of the proposed algorithm, we have compared it against well-known clustering algorithms SC (Spectral Clustering) and [12] and K-means [9], as well

She used Hitchin’s spectral techniques, as well as an involution on the moduli space of complex Higgs pairs, to describe the fibration for split real forms of linear groups, as well

Different ways of nonlinear filter- ing, adaptive techniques based on the statistical ordering and a cubic spline interpolation will be shown as suitable techniques for this