An Approximate Tensor-Based Inference Method Applied to the Game of Minesweeper

DOI10.1007/978-3-319-11433-0_35zbMath1450.62065OpenAlexW3220409MaRDI QIDQ2938430

Petr Tichavský, Jiří Vomlel

Publication date: 14 January 2015

Published in: Probabilistic Graphical Models (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-11433-0_35

zbMATH Keywords

Bayesian networksprobabilistic inferencesymmetric tensor rankCP tensor decomposition

Mathematics Subject Classification ID

Games involving graphs (91A43) Probabilistic graphical models (62H22)

Related Items (2)

Learning tractable NAT-modeled Bayesian networks ⋮ Direct causal structure extraction from pairwise interaction patterns in NAT modeling Bayesian networks

This page was built for publication: An Approximate Tensor-Based Inference Method Applied to the Game of Minesweeper