In this paper we study the problem of classifying chemical compound datasets. We present a sub-structure-based classification algorithm that decouples the sub-structure discovery...
Mukund Deshpande, Michihiro Kuramochi, George Kary...
This paper proposes a nonparametric Bayesian method for exploratory data analysis and feature construction in continuous time series. Our method focuses on understanding shared fe...
Model transformations support a model-driven design by providing an c translation of abstract models into more concrete ones, and eventually program code. Crucial to a successful a...
Gregor Engels, Anneke Kleppe, Arend Rensink, Maria...
: Nowadays, the UML language is one of the most widely accepted software modelling language. Enterprise modelling is concerned with the externalisation of knowledge about the en...
The paper presents how the Random PROLOG Processor (RPP), a bio-inspired model of computations, can be used for formalization and analysis of a phenomenon - the Collective Intelli...