Dear Colleagues,
Due to requests, we have extended the submission deadline to Dec, 23rd. That is, this Sunday. # Special Issue: Robustness in Probabilistic Graphical Models Probabilistic Graphical Models (PGM) have become the de facto framework for representing and manipulating probabilistic knowledge in the Machine Learning and Artificial Intelligence communities. The specification of the numerical parameters of these models relies either on estimates obtained from data or on subjective knowledge elicited from experts. In either case, such parameters are prone to imprecisions and inaccuracies resulting from noisy, incomplete or scarce data, poor human judgment, unaccounted factors, or a combination of these situations. Such issues can be linked to a lack of model robustness, and addressing them is crucial if such models are to be used to support scientific theories or to automate tasks in a reliable manner. # Description This special issue aims at collecting papers concerned with achieving robustness in probabilistic graphical models. Topics of interest include, but are not limited to: - Methods for sensitivity analysis in PGMs; - Empirical analysis of PGMs' robustness; - Non-trivial robustness issues in PGMs (e.g. adversarial examples); - Design of inference, learning, or decision making techniques that are robust to perturbations and/or outliers in data, in elicited knowledge, or in model parameters; - Robust analysis and design of robustness measurements; - Extensions of PGMs that account for imprecision and incompleteness in data and knowledge; - Reliable qualitative learning and reasoning; - Robust treatment of missing data; - Computational complexity of learning, inference and/or decision making with robust models. # Instructions For Submission Submissions should be carried out through the EVISE system: http://www.evise.com/evise/jrnl/IJA <http://www.evise.com/evise/jrnl/IJA> selecting "VSI:Robustness in PGMs". Submissions will follow the standard reviewing process of IJAR. In order to guarantee an efficient process, articles will enter the revision process as soon as they are submitted, and be published in a Virtual Issue. The latter entails that publication will occur as soon as an acceptance decision is reached. Submissions should comply with the high-quality standards of IJAR, and will be assessed by their originality, relevance and contribution to the topic of this special issue. While there is no limit for the length of manuscripts, typical articles contain between 20-40 pages in IJAR format. # Important Dates Submission deadline: December 23rd, 2018. Publication: no later than September, 2019. ## Guest Editors Denis D. Maua', University of Sao Paulo, Brazil, denis.m...@usp.br <mailto:denis.m...@usp.br> Cassio P. de Campos, Utrecht University, The Netherlands, c.decam...@uu.nl <mailto:c.decam...@uu.nl>
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