Approximating Bayesian belief networks by arc removal Export

@article{citeulike:392022, abstract = {I propose a general framework for approximating Bayesian belief networks through model simplification by arc removal. Given an upper bound on the absolute error allowed on the prior and posterior probability distributions of the approximated network, a subset of arcs is removed, thereby speeding up probabilistic inference}, author = {van Engelen, R. A.}, citeulike-article-id = {392022}, citeulike-linkout-0 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=608295}, journal = {Pattern Analysis and Machine Intelligence, IEEE Transactions on}, keywords = {approximation}, number = {8}, pages = {916--920}, posted-at = {2005-11-13 21:20:45}, priority = {2}, title = {Approximating Bayesian belief networks by arc removal}, url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=608295}, volume = {19}, year = {1997} }

TY - JOUR ID - citeulike:392022 L3 - citeulike-article-id:392022 N2 - I propose a general framework for approximating Bayesian belief networks through model simplification by arc removal. Given an upper bound on the absolute error allowed on the prior and posterior probability distributions of the approximated network, a subset of arcs is removed, thereby speeding up probabilistic inference IS - 8 JF - Pattern Analysis and Machine Intelligence, IEEE Transactions on EP - 920 TI - Approximating Bayesian belief networks by arc removal VL - 19 SP - 916 KW - approximation AU - van Engelen, RA PY - 1997/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=608295 ER -