Textual Entailment recognition is a very difficult task as it is one of the fundamental problems in any semantic theory of natural language. As in many other NLP tasks, Machine Lea...
Maria Teresa Pazienza, Marco Pennacchiotti, Fabio ...
We propose a multivariate decision tree inference scheme by using the minimum message length (MML) principle (Wallace and Boulton, 1968; Wallace and Dowe, 1999). The scheme uses MM...
In this paper, we investigate the utility of static anthropometric distances as a biometric for human identification. The 3D landmark data from the CAESAR database is used to form...
This paper proposes the modeling and the performance analysis of a high-level control protocol – COCOP, which enables cooperative groups of clients to control a shared server de...
We present a simple and linear 3D cellular automata approach for animating the behaviors of viscous flow volumes in virtual environments. An accurate modeling of fluid flow usu...