92 citations · 156 across the 15 of their papers we have counts for
3 papers · 1 filter
Scoring and Searching over Bayesian Networks with Causal and Associative Priors
Giorgos Borboudakis, Ioannis Tsamardinos
A significant theoretical advantage of search-and-score methods for learning Bayesian Networks is that they can accept informative prior beliefs for each possible network, thus com…
Discovering and Exploiting Entailment Relationships in Multi-Label Learning
Christina Papagiannopoulou, Grigorios Tsoumakas, Ioannis Tsamardinos
This work presents a sound probabilistic method for enforcing adherence of the marginal probabilities of a multi-label model to automatically discovered deterministic relationships…
Constraint-based Causal Discovery from Multiple Interventions over Overlapping Variable Sets
Sofia Triantafillou, Ioannis Tsamardinos
Scientific practice typically involves repeatedly studying a system, each time trying to unravel a different perspective. In each study, the scientist may take measurements under d…