Electronic publishing, and in particular Web-based publishing, has assumed an increasing importance in higher education. The possibility of delivering learning material to students...
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
While approaches based on local features play a more and more important role for 3D shape retrieval, the problems of feature selection and similarity measurement between sets of l...
: This article gives an overview of the Essex Wizards 2000 team participated in the RoboCup 2000 simulator league. A brief description of the agent architecture for the team is int...
Huosheng Hu, Kostas Kostiadis, Matthew Hunter, Kos...
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...