In this poster, we introduce the mechanism of handling the ordering structure of XML data by using the Nested Relational Sequence Database System (NRSD), which is built upon the N...
Relational world models that can be learned from experience in stochastic domains have received significant attention recently. However, efficient planning using these models rema...
This paper addresses the task of automatic classification of semantic relations between nouns. We present an improved WordNet-based learning model which relies on the semantic inf...
We introduce relational grams (r-grams). They upgrade n-grams for modeling relational sequences of atoms. As n-grams, r-grams are based on smoothed n-th order Markov chains. Smoot...
Rainfall-Runoff and Signal Separation Problems: The process of converting rainfall into runoff is a highly nonlinear problem due to the soil-water interaction that starts when r...