Whereas dictionary design has traditionally been guided by the results of dictionary use research, recent approaches in lexicographic research are strictly user-centred. We support the idea of integrating empirical cognitive evidence into this type of research, thus fruitfully exploiting it for both, the selection (and subsequently presentation) of lexical data and the acquisition of such data ...

We introduce a statistical method to investigate the impact of dyadic relations on complex networks generated from repeated interactions. It is based on generalised hypergeometric ensembles, a class of statistical network ensembles developed recently. We represent different types of known relations between system elements by weighted graphs, separated in the different layers of a multiplex netw...

We propose a new framework for dependence structure learning via copula. Copula is a statistical theory on dependence and measurement of association. Graphical models are considered as a type of special case of copula families, named product copula. In this paper, a nonparametric algorithm for copula estimation is presented. Then a Chow-Liu like method based on dependence measure via copula is ...

We combine the replica approach from statistical physics with a variational approach to analyze learning curves analytically. We apply the method to Gaussian process regression. As a main result we derive approximative relations between empirical error measures, the generalization error and the posterior variance.

We consider large scale empirical risk minimization (ERM) problems, where both the problem dimension and variable size is large. In these cases, most second order methods are infeasible due to the high cost in both computing the Hessian over all samples and computing its inverse in high dimensions. In this paper, we propose a novel adaptive sample size second-order method, which reduces the cos...

We propose a cluster ensemble method to map the corpus documents into the semantic space embedded in Wikipedia and group them using multiple types of feature space. A heterogeneous cluster ensemble is constructed with multiple types of relations i.e. document-term, documentconcept and document-category. A final clustering solution is obtained by exploiting associations between document pairs an...

Because people have different levels of engagement with each other, measuring social relations is difficult. In this work, we propose a method of measuring social relations with multiple datasets and demonstrate the differences with empirical evidence. Our empirical findings demonstrate that people use different communication media channels differently. Therefore, we suggest that in order to un...

International relations theorists tend to think in terms of continuous processes. Yet we observe only discrete events, such as wars or alliances, and summarize them in terms of the frequency of occurrence. As such, most empirical analyses in international relations are based on event count variables. Unfortunately, analysts have generally relied on statistical techniques that were designed for ...