On Sensitivity of the MAP Bayesian Network Structure to the Equivalent Sample Size Parameter (2007)

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by Tomi Silander , Petri Kontkanen , Petri Myllymäki
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7 On Sensitivity of the MAP Bayesian Network Structure to the Equivalent Sample Size Parameter – Tomi Sil, Petri Kontkanen, Petri Myllymäki
2 Learning the Bayesian Network Structure: Dirichlet Prior versus Data – Harald Steck
1 Factorized Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures – Tomi Silander, Teemu Roos, Petri Kontkanen, Petri Myllymäki - 2008
3 Factorized Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures – Tomi Sil, Teemu Roos, Petri Kontkanen, Petri Myllymäki
Locally Minimax Optimal Predictive Modeling with Bayesian Networks – Tomi Silander, Teemu Roos, Petri Myllymäki
2 Learning Locally Minimax Optimal Bayesian Networks – Tomi Silander, Teemu Roos, Petri Myllymäki
2 Finding Optimal Bayesian Network Given a Super-Structure – Eric Perrier, Seiya Imoto, Satoru Miyano, Max Chickering
1 Improved search for structure learning of large bayesian networks – Avi Herscovici, Oliver Brock
5 Bayesian structure learning using dynamic programming and MCMC – Daniel Eaton
Bayesian Model Averaging Using the k-best Bayesian Network Structures – Jin Tian, Ru He, Lavanya Ram
Learning the Structure of Deep Sparse Graphical Models – Ryan Prescott, Adams Hanna, M. Wallach, Zoubin Ghahramani
8 Finding optimal Bayesian networks by dynamic programming – Ajit P. Singh, Andrew W. Moore - 2005
3 Calculating the normalized maximum likelihood distribution for Bayesian forests – Hannes Wettig, Petri Kontkanen, Petri Myllymäki - 2007
1 LassoOrderSearch: Learning Directed Graphical Model Structure using L1-Penalized Regression and Order Search – Mark Schmidt
Hungarian Academy of Sciences – Péter Antal, András Millinghoffer, Gábor Hullám, Csaba Szalai, András Falus
1 Learning Bayesian Network Structure using LP Relaxations – Tommi Jaakkola, David Sontag, Amir Globerson, Marina Meila
5 Structure Learning of Bayesian Networks using Constraints – Cassio P. De Campos, Zhi Zeng, Qiang Ji
Extending Bayesian Logic Programs for Plan Recognition and Machine Reading – Sindhu V. Raghavan
1 Predictive Discretization during Model Selection – Harald Steck