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ICIP
2002
IEEE
16 years 7 months ago
Long term tracking using Bayesian networks
This paper addresses long term tracking of multiple objects with occlusions. Bayesian networks are used to model the interaction among the detected tracks and for conflict managem...
Arnaldo J. Abrantes, João Miranda Lemos, Jo...
ICML
2008
IEEE
16 years 6 months ago
An object-oriented representation for efficient reinforcement learning
Rich representations in reinforcement learning have been studied for the purpose of enabling generalization and making learning feasible in large state spaces. We introduce Object...
Carlos Diuk, Andre Cohen, Michael L. Littman
ICML
1996
IEEE
16 years 6 months ago
Discretizing Continuous Attributes While Learning Bayesian Networks
We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
Moisés Goldszmidt, Nir Friedman
ISBI
2006
IEEE
16 years 6 months ago
Cancer disease: integrative modelling approaches
Cancer is a complex disease in which a variety of phenomena interact over a wide range of spatial and temporal scales. In this article a theoretical framework will be introduced t...
Helen M. Byrne, Markus R. Owen, Tomas Alarcó...
WWW
2004
ACM
16 years 6 months ago
Semantical Descriptions of Models for Web Design
The use of semantic web languages brings a number of advantages for web engineering methodologies. In this paper we present how in the Hera methodology the design models benefit f...
Peter Barna, Geert-Jan Houben, Flavius Frasincar, ...