Learning the Finer Things: Bayesian Structure Learning at the Instantiation Level

8 March 2023

Papers citing "Learning the Finer Things: Bayesian Structure Learning at the Instantiation Level"

8 / 8 papers shown

Title
Improved Acyclicity Reasoning for Bayesian Network Structure Learning with Constraint Programming Fulya Trösser S. D. Givry G. Katsirelos 52 10 0 23 Jun 2021
A Survey on the Explainability of Supervised Machine Learning Nadia Burkart Marco F. Huber FaML XAI 60 778 0 16 Nov 2020
Ray: A Distributed Framework for Emerging AI Applications Philipp Moritz Robert Nishihara Stephanie Wang Alexey Tumanov Richard Liaw ... Melih Elibol Zongheng Yang William Paul Michael I. Jordan Ion Stoica GNN 110 1,268 0 16 Dec 2017
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images Anh Totti Nguyen J. Yosinski Jeff Clune AAML 174 3,275 0 05 Dec 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 289 14,968 1 21 Dec 2013
Learning Polytrees S. Dasgupta TPM 144 129 0 23 Jan 2013
Large-Sample Learning of Bayesian Networks is NP-Hard D. M. Chickering Christopher Meek David Heckerman BDL 136 796 0 19 Oct 2012
Bayesian network learning with cutting planes James Cussens 69 259 0 14 Feb 2012