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Girls with top science GCSEs 'deterred from study at higher level'

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...

Use of Big Health and Actuarial Data Impact Workshop

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...

Smarter maths generates better value insurance products

Lens on Research and Innovation  (LORI) was selected by EPSRC for their showcase of impact.  Visit:  

Congratulations to CMP Head of School Professor Gerard Parr on his MBE

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)....

CMP and Earlham Institute researchers develop new phylogenetics software package

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...

Latest Events and Seminars Latest Events and Seminars


From symbolic ultrametrics to 3-way maps

Date: 18th Oct. 2017

Time: 14:00-15:00

Location: S3.05

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.