Results 311 to 320 of about 7,343,069 (347)
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Optical implementation of probabilistic graphical models
2016 IEEE International Conference on Rebooting Computing (ICRC), 2016We are investigating the use of optics to solve highly connected graphical models by probabilistic inference, and more specifically the sum-product message passing algorithm. We are examining the fundamental limit of size and power requirement according to the best multiplexing strategy we have found.
Pierre-Alexandre Blanche +7 more
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Probabilistic graphical models in energy systems: A review
Building Simulation, 2021Tingting Li +5 more
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Probabilistic reasoning with graphical security models
Information Sciences, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Barbara Kordy +2 more
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Probabilistic Graphical Models and Their Inferences (Tutorial)
2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W), 2019Probabilistic graphical models are useful for modelling stochastic phenomena for doing inferences and reasoning under uncertainty. Especially, chain graph models and Bayesian networks can be used as probabilistic expert systems where inferences can be done with junction tree algorithm, etc.
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1|Functions on probabilistic graphical models
2009 International Multiconference on Computer Science and Information Technology, 2009Probabilistic graphical models are tools that are used to represent the probability distribution of a vector of random variables X = (X1, …, XN). In this paper we introduce functions f(x1, …, xN) defined over the given vector. These functions also are random variables.
Tomasz Ignac, Uli Sorger
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A Probabilistic Graphical Model of Quantum Systems
2010 Ninth International Conference on Machine Learning and Applications, 2010Quantum systems are promising candidates of future computing and information processing devices. In a large system, information about the quantum states and processes may be incomplete and scattered. To integrate the distributed information we propose a quantum version of probabilistic graphical models.
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A probabilistic graphical model for learning as search
2017 IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC), 2017This work describes ongoing research on web information retrieval using queries which require prolonged browser interactions in exploring, revising, resubmitting, and studying results produced by the search engine. Over the last two decades or so, web search has improved significantly in a lot of areas, but has not made much progress at the difficult ...
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Relational Probabilistic Graphical Models
European Workshop on Probabilistic Graphical Models, 2020L. E. Sucar
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Probabilistic Graphical Model of SPECT/MRI
2011The combination of PET and SPECT with MRI is an area of active research at present time and will enable new biological and pathological analysis tools for clinical applications and pre-clinical research. Image processing and reconstruction in multi-modal PET/MRI and SPECT/MRI poses new algorithmic and computational challenges. We investigate the use of
Stefano Pedemonte +4 more
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Multi-Marginal Optimal Transport and Probabilistic Graphical Models
IEEE Transactions on Information Theory, 2021Yongxin Chen +2 more
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