Advances in Bayesian Networks Book

	Hypercausality, randomisation local and global independence	1
	Interface verification for multiagent probabilistic inference	19
	Optimal time-space tradeoff in probabilistic inference	39
	Hierarchical junction trees	57
	Algorithms for approximate probability propagation in Bayesian networks	77
	Abductive inference in Bayesian networks : a review	101
	Causal models, value of intervention, and search for opportunities	121
	Advances in decision graphs	137
	Real-world applications of influence diagrams	161
	Learning Bayesian networks by floating search methods	181
	A graphical meta-model for reasoning about Bayesian network structure	201
	Restricted Bayesian network structure learning	217
	Scaled conjugate gradients for maximum likelihood : an empirical comparison with the EM algorithm	235
	Learning essential graph Markov models from data	255
	Fast propagation algorithms for singly connected networks and their applications to information retrieval	271
	Continuous speed recognition using dynamic Bayesian networks : a fast decoding algorithm	289
	Applications of Bayesian networks in meteorology	309