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
Learning Directed Acyclic Graphs with Penalized Neighbourhood Regression Bryon Aragam Arash A. Amini Qing Zhou CML 14 42 0 29 Nov 2015
Binary Classifier Calibration using an Ensemble of Near Isotonic Regression Models Mahdi Pakdaman Naeini G. Cooper UQCV MQ 14 44 0 16 Nov 2015
Dynamic Sum Product Networks for Tractable Inference on Sequence Data (Extended Version) Mazen Melibari Pascal Poupart Prashant Doshi George Trimponias TPM 22 27 0 13 Nov 2015
Anchored Discrete Factor Analysis Yoni Halpern Steven Horng David Sontag CML 6 17 0 10 Nov 2015
Sandwiching the marginal likelihood using bidirectional Monte Carlo Roger C. Grosse Zoubin Ghahramani Ryan P. Adams 16 62 0 08 Nov 2015
Discovery and Visualization of Nonstationary Causal Models Kun Zhang Biwei Huang Jiji Zhang Bernhard Schölkopf Clark Glymour CML 33 13 0 27 Sep 2015
Learning Structures of Bayesian Networks for Variable Groups P. Parviainen Samuel Kaski CML 9 33 0 31 Aug 2015
Mining Combined Causes in Large Data Sets Saisai Ma Jiuyong Li Lin Liu T. Le CML 8 17 0 28 Aug 2015
Parallel and Interacting Stochastic Approximation Annealing algorithms for global optimisation G. Karagiannis B. Konomi Guang Lin F. Liang 13 4 0 20 Aug 2015
Structured Sparsity: Discrete and Convex approaches Anastasios Kyrillidis Luca Baldassarre Marwa El Halabi Quoc Tran-Dinh V. Cevher 16 27 0 20 Jul 2015
Mapping Big Data into Knowledge Space with Cognitive Cyber-Infrastructure H. Zhuge 18 19 0 18 Jul 2015
A hybrid algorithm for Bayesian network structure learning with application to multi-label learning Maxime Gasse A. Aussem H. Elghazel 19 88 0 18 Jun 2015
Interpretable Selection and Visualization of Features and Interactions Using Bayesian Forests Viktoriya Krakovna Jiong Du Jun S. Liu FAtt 28 5 0 08 Jun 2015
Graph_sampler: a simple tool for fully Bayesian analyses of DAG-models Sagnik Datta G. Gayraud Eric Leclerc F. Bois 17 1 0 27 May 2015
An Experimental Comparison of Hybrid Algorithms for Bayesian Network Structure Learning Maxime Gasse A. Aussem H. Elghazel 21 23 0 19 May 2015
Incorporating Type II Error Probabilities from Independence Tests into Score-Based Learning of Bayesian Network Structure Eliot Brenner David Sontag 25 0 0 12 May 2015
A closed-form approach to Bayesian inference in tree-structured graphical models L. Schwaller Stephane S. Robin M. Stumpf TPM 24 10 0 10 Apr 2015
A fast PC algorithm for high dimensional causal discovery with multi-core PCs T. Le Tao Hoang Jiuyong Li Lin Liu Huawen Liu 26 139 0 09 Feb 2015
Structure Learning in Bayesian Networks of Moderate Size by Efficient Sampling Ru He Jin Tian Huaiqin Wu CML 28 12 0 19 Jan 2015
A new prior for the discrete DAG models with a restricted set of directions H. Massam J. Wesołowski 29 2 0 02 Dec 2014
CAPRI: Efficient Inference of Cancer Progression Models from Cross-sectional Data Daniele Ramazzotti G. Caravagna L. O. Loohuis Alex Graudenzi I. Korsunsky G. Mauri M. Antoniotti B. Mishra 28 81 0 19 Aug 2014
Scoring and Searching over Bayesian Networks with Causal and Associative Priors Giorgos Borboudakis Ioannis Tsamardinos CML 51 14 0 09 Aug 2014
Bayesian Network Structure Learning Using Quantum Annealing B. O’Gorman A. Perdomo-Ortiz Ryan Babbush Alán Aspuru-Guzik V. Smelyanskiy 28 99 0 15 Jul 2014
Counting Markov Blanket Structures Shyam Visweswaran G. Cooper 30 2 0 09 Jul 2014
Bayesian Network Constraint-Based Structure Learning Algorithms: Parallel and Optimised Implementations in the bnlearn R Package M. Scutari CML 52 164 0 30 Jun 2014
Learning directed acyclic graphs via bootstrap aggregating Ru Wang Jie Peng FedML CML 32 3 0 09 Jun 2014
Advances in Learning Bayesian Networks of Bounded Treewidth S. Nie Denis Deratani Mauá Cassio Polpo de Campos Q. Ji TPM 80 35 0 05 Jun 2014
Exact Estimation of Multiple Directed Acyclic Graphs Chris J. Oates Jim Q. Smith S. Mukherjee James Cussens 36 39 0 04 Apr 2014
An Efficient Search Strategy for Aggregation and Discretization of Attributes of Bayesian Networks Using Minimum Description Length J. Corcoran Daniel Tran N. Levine 30 6 0 03 Apr 2014
Structural Markov graph laws for Bayesian model uncertainty Simon Byrne Philip Dawid 47 19 0 22 Mar 2014
Penalized Estimation of Directed Acyclic Graphs From Discrete Data J. Gu Fei Fu Qing Zhou CML 32 42 0 10 Mar 2014
Short-term plasticity as cause-effect hypothesis testing in distal reward learning Andrea Soltoggio 31 28 0 04 Feb 2014
Parameterized Complexity Results for Exact Bayesian Network Structure Learning S. Ordyniak Stefan Szeider 43 64 0 04 Feb 2014
Marginal Pseudo-Likelihood Learning of Markov Network structures J. Pensar Henrik J. Nyman Juha Niiranen J. Corander 21 3 0 20 Jan 2014
Efficient Markov Network Structure Discovery Using Independence Tests F. Bromberg D. Margaritis Vasant Honavar 27 84 0 15 Jan 2014
Learning Bayesian Network Equivalence Classes with Ant Colony Optimization Rónán Daly Q. Shen 60 70 0 15 Jan 2014
Binary Classifier Calibration: Bayesian Non-Parametric Approach Mahdi Pakdaman Naeini G. Cooper Milos Hauskrecht 33 2 0 13 Jan 2014
Concave Penalized Estimation of Sparse Gaussian Bayesian Networks Bryon Aragam Qing Zhou CML 47 107 0 04 Jan 2014
Labeled Directed Acyclic Graphs: a generalization of context-specific independence in directed graphical models J. Pensar Henrik J. Nyman T. Koski J. Corander 45 50 0 04 Oct 2013
Treedy: A Heuristic for Counting and Sampling Subsets Teppo Niinimaki Mikko Koivisto 26 3 0 26 Sep 2013
SparsityBoost: A New Scoring Function for Learning Bayesian Network Structure Eliot Brenner David Sontag 51 41 0 26 Sep 2013
Protein (Multi-)Location Prediction: Using Location Inter-Dependencies in a Probabilistic Framework Ramanuja Simha H. Shatkay 21 11 0 30 Jul 2013
Bayesian Discovery of Multiple Bayesian Networks via Transfer Learning Diane Oyen T. Lane 28 22 0 09 Jul 2013
Markov random fields factorization with context-specific independences A. Edera F. Bromberg F. Schlüter 28 4 0 10 Jun 2013
A Cooperative Coevolutionary Genetic Algorithm for Learning Bayesian Network Structures Arthur Carvalho CML 32 21 0 28 May 2013
A Transformational Characterization of Equivalent Bayesian Network Structures D. M. Chickering 151 416 0 20 Feb 2013
Causal Discovery from a Mixture of Experimental and Observational Data G. Cooper Changwon Yoo CML 40 0 0 23 Jan 2013
Bayesian Network Classifiers in a High Dimensional Framework T. Pavlenko D. Rosen 32 3 0 12 Dec 2012
A Bayesian Network Scoring Metric That Is Based On Globally Uniform Parameter Priors M. Kayaalp G. Cooper BDL 31 41 0 12 Dec 2012
Finding Optimal Bayesian Networks D. M. Chickering Christopher Meek TPM 43 152 0 12 Dec 2012