Building large-scale Bayesian Networks Export

@misc{citeulike:758042, abstract = {Bayesian Networks (BNs) model problems that involve uncertainty. A BN is a directed graph, whose nodes are the uncertain variables and whose edges are the causal or influential links between the variables. Associated with each node is a set of conditional probability functions that model the uncertain relationship between the node and its parents. The benefits of using BNs to model uncertain domains are well known, especially since the recent breakthroughs in algorithms and tools to...}, author = {Neil, M. and Fenton, L.}, citeulike-article-id = {758042}, citeulike-linkout-0 = {http://citeseer.ist.psu.edu/neil99building.html}, citeulike-linkout-1 = {http://citeseer.lcs.mit.edu/neil99building.html}, citeulike-linkout-2 = {http://citeseer.ifi.unizh.ch/neil99building.html}, citeulike-linkout-3 = {http://citeseer.comp.nus.edu.sg/neil99building.html}, keywords = {bayesian, bayesnet, dt, large, network}, posted-at = {2006-07-13 19:49:02}, priority = {2}, title = {Building large-scale Bayesian Networks}, url = {http://citeseer.ist.psu.edu/neil99building.html}, year = {1999} }

TY - GEN ID - citeulike:758042 L3 - citeulike-article-id:758042 N2 - Bayesian Networks (BNs) model problems that involve uncertainty. A BN is a directed graph, whose nodes are the uncertain variables and whose edges are the causal or influential links between the variables. Associated with each node is a set of conditional probability functions that model the uncertain relationship between the node and its parents. The benefits of using BNs to model uncertain domains are well known, especially since the recent breakthroughs in algorithms and tools to... TI - Building large-scale Bayesian Networks KW - bayesian KW - bayesnet KW - dt KW - large KW - network AU - Neil, M AU - Fenton, L PY - 1999/// UR - http://citeseer.ist.psu.edu/neil99building.html ER -