Probabilistic reasoning techniques for situation assessments

@inproceedings{citeulike:1061909, abstract = {This paper discusses the application of object oriented probabilistic relational models to the formulation of situation assessments in the tactical military domain. Object-oriented probabilistic relational models extend traditional attribute based Bayesian networks with the concepts of objects, their attributes and the relationships between them by combining a frame-based representation system with object-oriented Bayesian networks.}, author = {Howard, C. and Stumptner, M. }, citeulike-article-id = {1061909}, journal = {Information Technology and Applications, 2005. ICITA 2005. Third International Conference on}, keywords = {assessment, probabilistic, situation}, pages = {383--386 vol.1}, posted-at = {2007-01-23 11:58:38}, priority = {2}, title = {Probabilistic reasoning techniques for situation assessments}, url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=1488832}, volume = {1}, year = {2005} }

TY - CONF ID - citeulike:1061909 L3 - citeulike-article-id:1061909 TI - Probabilistic reasoning techniques for situation assessments JF - Information Technology and Applications, 2005. ICITA 2005. Third International Conference on VL - 1 SP - 383 EP - 386 vol.1 N2 - This paper discusses the application of object oriented probabilistic relational models to the formulation of situation assessments in the tactical military domain. Object-oriented probabilistic relational models extend traditional attribute based Bayesian networks with the concepts of objects, their attributes and the relationships between them by combining a frame-based representation system with object-oriented Bayesian networks. KW - assessment KW - probabilistic KW - situation AU - Howard, C AU - Stumptner, M PY - 2005/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1488832 ER -