This paper presents preliminary research aiming to understand the semantics of bird songs. We investigate relationship between context information and bird song output using dynamic Bayesian networks, and show the potential of our approach for semantics inference.

in this paper attempts have been done to create a mortar with relatively high uniaxial compressive strength (ucs), easy casting, high flexibility, instant hardening, low cost and easy availability. the main use of this material is to physically model the mechanical behavior of jointed rock-like blocks. the effect of four parameters such as joint roughness coefficient (jrc), bridge length (l), b...

Most ITS have a means of providing assistance to the student, either on student request or when the tutor determines it would be effective. Presumably, such assistance is included by the ITS designers since they feel it benefits the students. However, whether—and how—help helps students has not been a well studied problem in the ITS community. In this paper we present three approaches for evalu...

Many formalisms combining ontology languages with uncertainty, usually in the form of probabilities, have been studied over the years. Most of these formalisms, however, assume that the probabilistic structure of the knowledge remains static over time. We present a general approach for extending ontology languages to handle time-evolving uncertainty represented by a dynamic Bayesian network. We...

This paper proposes an evaluation of DBN models so as to identify DBN configurations that can improve machine transliteration accuracy.

Article history: Received 1 March 2007 Received in revised form 15 January 2008 Accepted 15 March 2008