• This paper describes techniques for visualising pairs of similar trees. Our aim is to develop ways of presenting the information so as to highlight both the common structure of...
Cost-sensitive decision tree and cost-sensitive naïve Bayes are both new cost-sensitive learning models proposed recently to minimize the total cost of test and misclassifications...
We describe the design and implementation of a Standard ML of New Jersey library for the interactive pretty-printing of possibly infinite syntax trees. The library handles elision ...
Abstract. Trees can be conveniently compressed with linear straight-line contextfree tree grammars. Such grammars generalize straight-line context-free string grammars which are wi...
Markus Lohrey, Sebastian Maneth, Manfred Schmidt-S...
Abstract. A tree representation distance method, applied to any dissimilarity array, always gives a valued tree, even if the tree model is not appropriate. In the first part, we pr...