Symbolic Probabilistic Inference with Continuous Variables

التفاصيل البيبلوغرافية
العنوان: Symbolic Probabilistic Inference with Continuous Variables
المؤلفون: Chang, Kuo-Chu, Fung, Robert
سنة النشر: 2013
مصطلحات موضوعية: FOS: Computer and information sciences, ComputingMilieux_MANAGEMENTOFCOMPUTINGANDINFORMATIONSYSTEMS, Artificial Intelligence (cs.AI), Software_OPERATINGSYSTEMS, ComputerSystemsOrganization_COMPUTERSYSTEMIMPLEMENTATION, Computer Science - Artificial Intelligence, Astrophysics::High Energy Astrophysical Phenomena, Astrophysics::Solar and Stellar Astrophysics
الوصف: Research on Symbolic Probabilistic Inference (SPI) [2, 3] has provided an algorithm for resolving general queries in Bayesian networks. SPI applies the concept of dependency directed backward search to probabilistic inference, and is incremental with respect to both queries and observations. Unlike traditional Bayesian network inferencing algorithms, SPI algorithm is goal directed, performing only those calculations that are required to respond to queries. Research to date on SPI applies to Bayesian networks with discrete-valued variables and does not address variables with continuous values. In this papers, we extend the SPI algorithm to handle Bayesian networks made up of continuous variables where the relationships between the variables are restricted to be ?linear gaussian?. We call this variation of the SPI algorithm, SPI Continuous (SPIC). SPIC modifies the three basic SPI operations: multiplication, summation, and substitution. However, SPIC retains the framework of the SPI algorithm, namely building the search tree and recursive query mechanism and therefore retains the goal-directed and incrementality features of SPI.
Appears in Proceedings of the Seventh Conference on Uncertainty in Artificial Intelligence (UAI1991)
اللغة: English
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e0c076cfb97996182ec5e523c3d2aa3Test
http://arxiv.org/abs/1303.5712Test
حقوق: OPEN
رقم الانضمام: edsair.doi.dedup.....2e0c076cfb97996182ec5e523c3d2aa3
قاعدة البيانات: OpenAIRE