Learning and Reasoning in Hybrid Structured Spaces.
By: Morettin, P.
Material type:
BookSeries: Frontiers in Artificial Intelligence and Applications Ser: Publisher: Amsterdam : IOS Press, Incorporated, 2022Copyright date: �2022Edition: 1st ed.Description: 1 online resource (112 pages).Content type: text Media type: computer Carrier type: online resourceISBN: 9781643682679.Subject(s): Machine learningGenre/Form: Electronic books.DDC classification: 006.31 Online resources: Click to View | Item type | Current location | Collection | Call number | URL | Copy number | Status | Date due | Item holds |
|---|---|---|---|---|---|---|---|---|
| IUKL Library | Subscripti | https://ebookcentral.proquest.com/lib/kliuc-ebooks/detail.action?docID=29238892 | 1 | Available |
Intro -- Title Page -- Abstract -- Acknowledgments -- Contents -- Introduction -- Motivation -- Contributions -- Outline of the Thesis -- Background -- Probabilistic Graphical Models -- Bayesian Networks -- Markov Networks -- Factor graphs -- The belief propagation algorithm -- Inference by Weighted Model Counting -- Propositional satisfiability -- Weighted Model Counting -- Logical structure -- Inference by Weighted Model Integration -- Satisfiability Modulo Theories -- Weighted Model Integration -- Related work -- Modelling and inference -- Learning -- WMI-PA -- Predicate Abstraction -- Weighted Model Integration, Revisited -- Basic case: WMI Without Atomic Propositions -- General Case: WMI With Atomic Propositions -- Conditional Weight Functions -- From WMI to WMIold and vice versa -- A Case Study -- Modelling a journey with a fixed path -- Modelling a journey under a conditional plan -- Efficiency of the encodings -- Efficient WMI Computation -- The Procedure WMI-AllSMT -- The Procedure WMI-PA -- WMI-PA vs. WMI-AllSMT -- Experiments -- Synthetic Setting -- Strategic Road Network with Fixed Path -- Strategic Road Network with Conditional Plans -- Discussion -- Final remarks -- MP-MI -- Preliminaries -- Computing MI -- Hybrid inference via MI -- On the inherent hardness of MI -- MP-MI: exact MI inference via message passing -- Propagation scheme -- Amortizing Queries -- Complexity of MP-MI -- Experiments -- Final remarks -- lariat -- Learning WMI distributions -- Learning the support -- Learning the weight function -- Normalization -- Experiments -- Final remarks -- Conclusion.
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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2023. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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