Changing preferences is very common in real life. The expressive power of the operations of preference change introduced so far in the literature is limited to adding new informat...
We consider the following setting: a decision maker must make a decision based on reported data points with binary labels. Subsets of data points are controlled by different selfi...
Reshef Meir, Ariel D. Procaccia, Jeffrey S. Rosens...
Abductive diagnosis is an important method to identify explanations for a given set of observations. Unfortunately, most of the algorithmic problems in this area are intractable. ...
Answering conjunctive queries (CQs) has been recognized as a key task for the usage of Description Logics (DLs) in a number of applications, and has thus been studied by many auth...
We propose a novel method for approximate inference in Bayesian networks (BNs). The idea is to sample data from a BN, learn a latent tree model (LTM) from the data offline, and wh...