19 citations · 20 across the 2 of their papers we have counts for
2 papers
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.LG2019★ 1 cited
A Multilabel Classification Framework for Approximate Nearest Neighbor Search
Ville Hyvönen, Elias Jääsaari, Teemu Roos
Both supervised and unsupervised machine learning algorithms have been used to learn partition-based index structures for approximate nearest neighbor (ANN) search. Existing superv…