3 papers
cs.AI2015
SkILL - a Stochastic Inductive Logic Learner
Joana Côrte-Real, Theofrastos Mantadelis, Inês Dutra +1
Probabilistic Inductive Logic Programming (PILP) is a rel- atively unexplored area of Statistical Relational Learning which extends classic Inductive Logic Programming (ILP). This…
cs.AI2014
ExpertBayes: Automatically refining manually built Bayesian networks
Ezilda Almeida, Pedro Ferreira, Tiago Vinhoza +4
Bayesian network structures are usually built using only the data and starting from an empty network or from a naive Bayes structure. Very often, in some domains, like medicine, a…
stat.ME2012
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…