Discovering Structure in Continuous Variables Using Bayesian Networks (1995)

by Reimar Hofmann , Volker Tresp
Venue:Advances in Neural Information Processing Systems 8
Citations:21 - 1 self

Active Bibliography

Representing Coordination Relationships with Influence Diagrams – A. Zunino, A. Amandi - 2001
Bound, J., and Krueger, A. (1991), “The Extent of Measurement Error in Longitudinal Earnings Data: Do Two Wrongs Make a Right, ” Journal of Labor – Measurement Error In Survey, Measurement Error In
10 The Use of Exogenous Knowledge to Learn Bayesian Networks from Incomplete Databases – Marco Ramoni, Marco Ramoni, Paola Sebastiani, Paola Sebastiani - 1996
8 Graphical Models of the Visual Cortex – Thomas Dean
16 Using Multiple Alignments and Phylogenetic Trees to Detect RNA Secondary Structure – Brad Gulko, David Haussler - 1995
25 Learning mixtures of DAG models – Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman - 1997
36 Learning Probabilistic Networks – Paul J Krause - 1998
6 Efficient Parameter Learning in Bayesian Networks from Incomplete Databases – Marco Ramoni, Marco Ramoni, Paola Sebastiani, Paola Sebastiani - 1997
8 Multi-Entity Bayesian Networks Without Multi-Tears – Paulo C. G. da Costa , Kathryn Blackmond Laskey
35 Learning Bayesian Networks from Data: An Efficient Approach Based on Information Theory – Jie Cheng, David Bell, Weiru Liu - 1997
15 Propagating Imprecise Probabilities In Bayesian Networks – Gernot D. Kleiter - 1996
172 A Guide to the Literature on Learning Probabilistic Networks From Data – Wray Buntine - 1996
64 Discretizing Continuous Attributes While Learning Bayesian Networks – Nir Friedman, Moises Goldszmidt - 1996
8 Automated Decomposition of Model-based Learning Problems – Brian Williams, Bill Millar - 1996
23 A `Microscopic' Study of Minimum Entropy Search in Learning Decomposable Markov Networks – Y. Xiang, S.K.M. Wong, N. Cercone - 1995
92 Learning Bayesian Networks from Data: An Information-Theory Based Approach – Jie Cheng, Russell Greiner, Jonathan Kelly, David Bell, Weiru Liu
158 Adaptive Probabilistic Networks with Hidden Variables – John Binder, Daphne Koller, Stuart Russell, Keiji Kanazawa, Padhraic Smyth - 1997
175 Efficient approximations for the marginal likelihood of Bayesian networks with hidden variables – David Maxwell Chickering, David Heckerman - 1997
8 Computationally efficient methods for selecting among mixtures of graphical models – B. Thiesson, C. Meek, D. M. Chickering, D. Heckerman - 1999