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20122026
most citedA simple approach for finding the globally optimal Bayesian network structure

288 citations · 418 across the 9 of their papers we have counts for

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2 papers · 1 filter

cs.LG2024★ 19 cited

Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures

Tomi Silander, Janne Leppä-aho, Elias Jääsaari +1

We introduce an information theoretic criterion for Bayesian network structure learning which we call quotient normalized maximum likelihood (qNML). In contrast to the closely rela…

cs.RO2024

Multi-Agent Path Finding with Real Robot Dynamics and Interdependent Tasks for Automated Warehouses

Vassilissa Lehoux-Lebacque, Tomi Silander, Christelle Loiodice +3

Multi-Agent Path Finding (MAPF) is an important optimization problem underlying the deployment of robots in automated warehouses and factories. Despite the large body of work on th…