Below is an interesting report about why girls don't take STEM subjects at higher levels.(Spoiler: too many boys, lack of confidence) Visit: Girls top science gcse deterred study higher...
Prof. Elena Kulinskaya is the PI on the ARC programme on Use of Big Health and Actuarial Data for understanding Longevity and Morbidity risks. The research programme held a one day Impact...
Lens on Research and Innovation (LORI) was selected by EPSRC for their showcase of impact. Visit: www.epscr.ac.uk/lori
Prof Gerard Parr, Head of the School of Computing Sciences, has been made an MBE in the New Year Honours, for his services to developing telecoms infrastructure in Northern Ireland (NIR)....
Together with researchers in the Earlham Institute, members of Phylogenetics group in CMP have developed SPECTRE, a new open-source software package, that simplifies the complex business of...
From symbolic ultrametrics to 3-way maps
Date: 18th Oct. 2017
Speaker: Guillaume Scholz
Institution: School of Computing Sciences, UEA
Organiser: Dr. Michal Mackiewicz
Three-way dissimilarities are a generalization of (two-way) dissimilarities which can be used to indicate the lack of homogeneity or resemblance between any three objects. Here we consider threeway maps which arise from phylogenetic trees whose interior vertices are labelled by an arbitrary set of symbols, which we call tree-maps. Using a parallel between such maps and the notion of a symbolic ultrametrics introduced by Böcker and Dress, we show that, as with two- and three-way tree-metrics and ultrametrics, three-way symbolic tree-maps can be characterized via certain k-point conditions.