166 citations · 587 across the 57 of their papers we have counts for
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On Relating 'Why?' and 'Why Not?' Explanations
Alexey Ignatiev, Nina Narodytska, Nicholas Asher +1
Explanations of Machine Learning (ML) models often address a 'Why?' question. Such explanations can be related with selecting feature-value pairs which are sufficient for the predi…
Explaining Naive Bayes and Other Linear Classifiers with Polynomial Time and Delay
Joao Marques-Silva, Thomas Gerspacher, Martin C. Cooper +2
Recent work proposed the computation of so-called PI-explanations of Naive Bayes Classifiers (NBCs). PI-explanations are subset-minimal sets of feature-value pairs that are suffici…
Partial Queries for Constraint Acquisition
Christian Bessiere, Clement Carbonnel, Anton Dries +8
Learning constraint networks is known to require a number of membership queries exponential in the number of variables. In this paper, we learn constraint networks by asking the us…