Learning Bayesian Networks: The Combination of Knowledge and Statistical Data

27 February 2013

Papers citing "Learning Bayesian Networks: The Combination of Knowledge and Statistical Data"

50 / 366 papers shown

Title
A Traveling Salesman Learns Bayesian Networks T. Sahai Stefan Klus M. Dellnitz CML 40 1 0 20 Nov 2012
Order-independent constraint-based causal structure learning Diego Colombo Marloes H. Maathuis CML 54 590 0 14 Nov 2012
Strong Faithfulness and Uniform Consistency in Causal Inference Jiji Zhang Peter Spirtes 47 108 0 19 Oct 2012
Learning Module Networks E. Segal D. Pe’er Aviv Regev D. Koller N. Friedman GNN 40 180 0 19 Oct 2012
Automated Analytic Asymptotic Evaluation of the Marginal Likelihood for Latent Models Dmitry M. Rusakov D. Geiger 43 7 0 19 Oct 2012
Learning Continuous Time Bayesian Networks Uri Nodelman C. Shelton D. Koller 33 145 0 19 Oct 2012
A Robust Independence Test for Constraint-Based Learning of Causal Structure D. Dash Marek J Druzdzel CML 40 69 0 19 Oct 2012
LSBN: A Large-Scale Bayesian Structure Learning Framework for Model Averaging Yang Lu Mengying Wang Meng Li Qili Zhu Bo Yuan 25 2 0 18 Oct 2012
A Novel Learning Algorithm for Bayesian Network and Its Efficient Implementation on GPU Yu Wang Weikang Qian Shuchang Zhang B. Yuan BDL 19 2 0 18 Oct 2012
Local Structure Discovery in Bayesian Networks Teppo Niinimaki P. Parviainen 50 43 0 16 Oct 2012
A Bayesian Approach to Constraint Based Causal Inference Tom Claassen Tom Heskes TPM 57 98 0 16 Oct 2012
Graphical Modelling in Genetics and Systems Biology M. Scutari 41 0 0 14 Oct 2012
Reversible MCMC on Markov equivalence classes of sparse directed acyclic graphs Yangbo He Jinzhu Jia Bin Yu 53 35 0 26 Sep 2012
The Dependence of Routine Bayesian Model Selection Methods on Irrelevant Alternatives Piotr Zwiernik Jim Q. Smith 56 1 0 17 Aug 2012
On Finding Optimal Polytrees Serge Gaspers Mikko Koivisto M. Liedloff S. Ordyniak Stefan Szeider TPM 59 11 0 08 Aug 2012
Ordering-Based Search: A Simple and Effective Algorithm for Learning Bayesian Networks M. Teyssier D. Koller 39 370 0 04 Jul 2012
Learning Bayesian Network Parameters with Prior Knowledge about Context-Specific Qualitative Influences A. Feelders L. V. D. Gaag 33 29 0 04 Jul 2012
Incorporating Causal Prior Knowledge as Path-Constraints in Bayesian Networks and Maximal Ancestral Graphs Giorgos Borboudakis Ioannis Tsamardinos 55 36 0 27 Jun 2012
Smoothness and Structure Learning by Proxy Benjamin Yackley T. Lane BDL 40 2 0 27 Jun 2012
Exact Maximum Margin Structure Learning of Bayesian Networks Robert Peharz Franz Pernkopf TPM 52 12 0 27 Jun 2012
Ranking by Dependence - A Fair Criteria Harald Steck 39 0 0 27 Jun 2012
A theoretical study of Y structures for causal discovery S. Mani Peter Spirtes G. Cooper CML 45 64 0 27 Jun 2012
Continuous Time Markov Networks T. El-Hay N. Friedman D. Koller R. Kupferman 46 21 0 27 Jun 2012
Convex Structure Learning for Bayesian Networks: Polynomial Feature Selection and Approximate Ordering Yuhong Guo Dale Schuurmans TPM 40 15 0 27 Jun 2012
Advances in exact Bayesian structure discovery in Bayesian networks Mikko Koivisto TPM 33 88 0 27 Jun 2012
On Sensitivity of the MAP Bayesian Network Structure to the Equivalent Sample Size Parameter T. Silander P. Kontkanen P. Myllymäki 30 120 0 20 Jun 2012
Learning Selectively Conditioned Forest Structures with Applications to DBNs and Classification Brian D. Ziebart A. Dey J. Andrew Bagnell 38 6 0 20 Jun 2012
Making life better one large system at a time: Challenges for UAI research M. Goldszmidt 44 1 0 20 Jun 2012
Learning Bayesian Network Structure from Correlation-Immune Data Eric Lantz Soumya Ray David Page 42 3 0 20 Jun 2012
Bayesian structure learning using dynamic programming and MCMC Daniel Eaton Kevin P. Murphy 35 136 0 20 Jun 2012
Learning the Bayesian Network Structure: Dirichlet Prior versus Data Harald Steck 47 48 0 13 Jun 2012
Model-Based Bayesian Reinforcement Learning in Large Structured Domains Stéphane Ross Joelle Pineau BDL 44 63 0 13 Jun 2012
Learning Arithmetic Circuits Daniel Lowd Pedro M. Domingos TPM 45 110 0 13 Jun 2012
Bayesian network learning by compiling to weighted MAX-SAT James Cussens 41 50 0 13 Jun 2012
Computing Posterior Probabilities of Structural Features in Bayesian Networks Jin Tian Ru He UQCV TPM 49 40 0 09 May 2012
Exact Structure Discovery in Bayesian Networks with Less Space P. Parviainen Mikko Koivisto 41 69 0 09 May 2012
Bayesian Discovery of Linear Acyclic Causal Models P. Hoyer Antti Hyttinen 48 32 0 09 May 2012
Learning networks determined by the ratio of prior and data M. Ueno 39 42 0 15 Mar 2012
Bayesian Model Averaging Using the k-best Bayesian Network Structures Jin Tian Ru He Lavanya Ram BDL CML 35 43 0 15 Mar 2012
Algorithms and Complexity Results for Exact Bayesian Structure Learning S. Ordyniak Stefan Szeider CML 75 16 0 15 Mar 2012
Robust learning Bayesian networks for prior belief M. Ueno 46 29 0 14 Feb 2012
Noisy-OR Models with Latent Confounding Antti Hyttinen F. Eberhardt P. Hoyer CML 43 12 0 14 Feb 2012
Partial Order MCMC for Structure Discovery in Bayesian Networks Teppo Niinimaki P. Parviainen Mikko Koivisto 34 39 0 14 Feb 2012
Improving the Scalability of Optimal Bayesian Network Learning with External-Memory Frontier Breadth-First Branch and Bound Search Brandon M. Malone Changhe Yuan E. Hansen S. Bridges 45 42 0 14 Feb 2012
On the Prior and Posterior Distributions Used in Graphical Modelling M. Scutari 73 30 0 19 Jan 2012
Distance-Based Bias in Model-Directed Optimization of Additively Decomposable Problems Martin Pelikan Mark Hauschild 33 4 0 11 Jan 2012
Structure Learning of Probabilistic Graphical Models: A Comprehensive Survey Yang Zhou TPM 58 27 0 29 Nov 2011
Learning with Submodular Functions: A Convex Optimization Perspective Francis R. Bach 42 476 0 28 Nov 2011
A survey on independence-based Markov networks learning F. Schlüter 50 24 0 10 Aug 2011
Searching for Bayesian Network Structures in the Space of Restricted Acyclic Partially Directed Graphs Silvia Acid L. M. D. Campos 65 132 0 30 Jun 2011