To relax the homogeneity assumption of classical dynamic Bayesian networks (DBNs), various recent studies have combined DBNs with multiple changepoint processes. The underlying as...
Recent years have witnessed the wide recognition of the importance of ontology and rule in the AI research. In this paper, we report our implementation and evaluation of a rule-ba...
In this paper we introduce a notion of a regular expression over infinite alphabets and show that a language is definable by an infinite alphabet regular expression if and only if ...
Finite-state techniques are widely used in various areas of Natural Language Processing (NLP). As Kaplan and Kay [12] have argular expressions are the appropriate level of abstract...
We develop the theory of regular cost functions over finite trees: a quantitative extension to the notion of regular languages of trees: Cost functions map each input (tree) to a v...