Abstract. This paper presents the role of meta-modelling and graph transformation in our approach for the modelling, analysis and simulation of complex systems. These are made of c...
We present a generative probabilistic model for the topographic mapping of tree structured data. The model is formulated as constrained mixture of hidden Markov tree models. A nat...
Double R Model (Referential and Relational model) is a computational psycholinguistic model of NLP founded on the principles of Cognitive Linguistics and implemented using the ACT...
We present a graphical model for beat tracking in recorded music. Using a probabilistic graphical model allows us to incorporate local information and global smoothness constraint...
Document clustering techniques mostly rely on single term analysis of the document data set, such as the Vector Space Model. To better capture the structure of documents, the unde...