552 citations · 1.1k across the 22 of their papers we have counts for
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cs.AI2015★ 4 cited
Encoding Markov Logic Networks in Possibilistic Logic
Ondrej Kuzelka, Jesse Davis, Steven Schockaert
Markov logic uses weighted formulas to compactly encode a probability distribution over possible worlds. Despite the use of logical formulas, Markov logic networks (MLNs) can be di…
stat.ML2015
Assessing binary classifiers using only positive and unlabeled data
Marc Claesen, Jesse Davis, Frank De Smet +1
Assessing the performance of a learned model is a crucial part of machine learning. However, in some domains only positive and unlabeled examples are available, which prohibits the…