99 citations · 161 across the 4 of their papers we have counts for
4 papers
CLP(BN): Constraint Logic Programming for Probabilistic Knowledge
Vitor Santos Costa, David Page, Maleeha Qazi +1
We present CLP(BN), a novel approach that aims at expressing Bayesian networks through the constraint logic programming framework. Arguably, an important limitation of traditional…
Graphical-model Based Multiple Testing under Dependence, with Applications to Genome-wide Association Studies
Jie Liu, Chunming Zhang, Catherine McCarty +3
Large-scale multiple testing tasks often exhibit dependence, and leveraging the dependence between individual tests is still one challenging and important problem in statistics. Wi…
Unachievable Region in Precision-Recall Space and Its Effect on Empirical Evaluation
Kendrick Boyd, Vitor Santos Costa, Jesse Davis +1
Precision-recall (PR) curves and the areas under them are widely used to summarize machine learning results, especially for data sets exhibiting class skew. They are often used ana…
Demand-Driven Clustering in Relational Domains for Predicting Adverse Drug Events
Jesse Davis, Vitor Santos Costa, Peggy Peissig +3
Learning from electronic medical records (EMR) is challenging due to their relational nature and the uncertain dependence between a patient's past and future health status. Statist…