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Keyword

Bayesian network structure learning

Description: The task of inferring a Bayesian network’s graph of conditional dependencies from data, often using statistical or search algorithms.
OpenAlex ID: keywords/bayesian-network-structure-learning
The max-min hill-climbing Bayesian network structure learning algorithm
2006 · Ioannis Tsamardinos, Laura E. Brown, et al. · Machine Learning · 1,824
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A Tutorial on Learning with Bayesian Networks
2008 · David Heckerman · Studies in computational intelligence · 1,693
Proceedings of the 20th conference on Uncertainty in artificial intelligence
2004 · Christopher Meek, Max Chickering, et al. · 1,545
A Tutorial on Learning with Bayesian Networks
1998 · David Heckerman · Springer eBooks · 1,231
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Learning Bayesian Networks is NP-Complete
1996 · David Maxwell Chickering · Lecture notes in statistics · 999
Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks
2003 · Nir Friedman, Daphne Koller · Machine Learning · 811
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Learning Bayesian networks from data: An information-theory based approach
2002 · Jie Cheng, Russell Greiner, et al. · Artificial Intelligence · 804
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Not So Naive Bayes: Aggregating One-Dependence Estimators
2005 · Geoffrey I. Webb, Janice R. Boughton, et al. · Machine Learning · 709
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Bayesian Networks for Data Mining
1997 · David Heckerman · Data Mining and Knowledge Discovery · 630
Operations for Learning with Graphical Models
1994 · W. L. Buntine · Journal of Artificial Intelligence Research · 531
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Inferring Parameters and Structure of Latent Variable Models by Variational Bayes
2013 · Attias, Hagai · arXiv (Cornell University) · 526
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Learning Bayesian Network Structure from Massive Datasets: The "Sparse Candidate" Algorithm
1999 · Friedman, Nir, Nachman, Iftach, et al. · arXiv (Cornell University) · 524
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The Bayesian Structural EM Algorithm
2013 · Friedman, Nir · arXiv (Cornell University) · 511
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Bayesian Networks in Fault Diagnosis
2017 · Baoping Cai, Lei Huang, et al. · IEEE Transactions on Industrial Informatics · 482
DAGs with NO TEARS: Continuous Optimization for Structure Learning
2018 · Zheng, Xun, Aragam, Bryon, et al. · arXiv (Cornell University) · 476
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The Variational Bayesian EM Algorithm for Incomplete Data: With Application to Scoring Graphical Model Structures
2003 · Matthew J Beal, Zoubin Ghahramani · 458
Learning Gaussian Networks
1994 · Dan Geiger, David Heckerman · Elsevier eBooks · 442
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Multi-label learning by exploiting label dependency
2010 · Min-Ling Zhang, Kun Zhang · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 419
10.1162/153244303321897717
2000 · Applied Physics Letters · 419
Learning Bayesian Networks with Local Structure
1998 · Nir Friedman, Moises Goldszmidt · Springer eBooks · 396
Structure learning of Bayesian networks by genetic algorithms: a performance analysis of control parameters
1996 · P. Larranaga, M. Poza, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 393
Learning Belief Networks in the Presence of Missing Values and Hidden Variables
1997 · Nir Friedman · 387
Exact Bayesian Structure Discovery in Bayesian Networks
2004 · Mikko Koivisto, Kismat Sood · 374
Optimization problems for machine learning: A survey
2020 · Claudio Gambella, Bissan Ghaddar, et al. · European Journal of Operational Research · 367
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Time and sample efficient discovery of Markov blankets and direct causal relations
2003 · Ioannis Tsamardinos, Constantin F. Aliferis, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 357
Works count: 4,052
Citation count: 59,800
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