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检索条件"主题词=Probabilistic Graphical Models"
398 条 记 录,以下是291-300 订阅
排序:
Sensitivity Statistical Estimates for Local A Posteriori Inference Matrix-Vector Equations in Algebraic Bayesian Networks over Quantum Propositions
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VESTNIK ST PETERSBURG UNIVERSITY-MATHEMATICS 2018年 第1期51卷 42-48页
作者: Zolotin, A. A. Tulupyev, A. L. St Petersburg State Univ Univ Skaya Nab 7-9 St Petersburg 199034 Russia Russian Acad Sci St Petersburg Inst Informat & Automat 14 Ya Liniya VO 39 St Petersburg 199178 Russia
An approach to the sensitivity analysis of local a posteriori inference equations in algebraic Bayesian networks is proposed in this paper. Some basic definitions and formulations are briefly given and the development... 详细信息
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A Fully Polynomial Time Approximation Scheme for Updating Credal Networks of Bounded Treewidth and Number of Variable States
A Fully Polynomial Time Approximation Scheme for Updating Cr...
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7th International Symposium on Imprecise Probability - Theories and Applications (ISIPTA)
作者: Maua, Denis D. de Campos, Cassio P. Zaffalon, Marco IDSIA Galleria 2 CH-6928 Manno Switzerland
Credal networks lift the precise probability assumption of Bayesian networks, enabling a richer representation of uncertainty in the form of closed convex sets of probability measures. The increase in expressiveness c... 详细信息
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Comparison of Two graphical models Approaches for the modelling of Multi-components System's Reliability
Comparison of Two Graphical Models Approaches for the modell...
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International Conference on Computers and Industrial Engineering (CIE39)
作者: Donat, Roland Bouillaut, Laurent Neji, Abdelmoez Aknin, Patrice French Natl Inst Transportat & Safety Res F-93166 Noisy Le Grand France
Reliability analysis is an integral part of system design and operating. Moreover, it can be an input to optimize maintenance policies. Recently, Bayesian Networks (BN) and Dynamic Bayesian Networks (DBN) have been pr... 详细信息
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Multi-Label Truth Inference for Crowdsourcing Using Mixture models
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IEEE Transactions on Knowledge and Data Engineering 2021年 第5期33卷 2083-2095页
作者: Zhang, Jing Wu, Xindong School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing 210094 China Key Laboratory of Knowledge Engineering with Big Data Hefei University of Technology Ministry of Education Hefei 230009 China
When acquiring labels from crowdsourcing platforms, a task may be designed to include multiple labels and the values of each label may belong to a set of various distinct options, which is the so-called multi-class mu... 详细信息
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AXON SEGMENTATION IN MICROSCOPY IMAGES - A graphical MODEL BASED APPROACH
AXON SEGMENTATION IN MICROSCOPY IMAGES - A GRAPHICAL MODEL B...
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9th IEEE International Symposium on Biomedical Imaging (ISBI) - From Nano to Macro
作者: Golabchi, F. Noushin Brooks, Dana H. Northeastern Univ Dept Elect & Comp Engn Boston MA 02115 USA
Image segmentation of very large and complex microscopy images are challenging due to variability in the images and the need for algorithms to be robust, fast and able to incorporate various types of information and c... 详细信息
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Soft Learning probabilistic Circuits  12
Soft Learning Probabilistic Circuits
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12th International Conference on probabilistic graphical models (PGM)
作者: Ghandi, Soroush Quost, Benjamin de Campos, Cassio Eindhoven Univ Technol Eindhoven Netherlands Univ Technol Compiegne Compiegne France
probabilistic Circuits (PCs) are prominent tractable probabilistic models, allowing for a wide range of exact inferences. This paper focuses on the main algorithm for training PCs, LearnSPN, a gold standard due to its... 详细信息
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Agent-based Knowledge Evolution Management and Fuzzy Rule-based Evolution Detection in Bayesian Networks
Agent-based Knowledge Evolution Management and Fuzzy Rule-ba...
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International Conference on Fuzzy Theory and Its Applications (iFUZZY)
作者: Lee, Kyung Mi Lee, Keon Myung Chungbuk Natl Univ Dept Comp Sci Cheongju Chungbuk South Korea
All data and information are not always available at the time of a system design and implementation. Especially in knowledge-based systems, training data could be limited at the early stage and more training data migh... 详细信息
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Facial Expression Recognition with Discriminatory graphical models  2
Facial Expression Recognition with Discriminatory Graphical ...
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2nd International Conference of Signal Processing and Intelligent Systems (ICSPIS)
作者: Hasani, Behzad Arzani, Mohammad M. Fathy, Mahmood Raahemifar, Kaamran Iran Univ Sci & Technol Dept Comp Engn Tehran Iran Ryerson Univ Dept Elect & Comp Engn Toronto ON Canada
Discriminating probabilistic graphical models are reliable tools for a sequence labeling task. Conditional Random Fields (CRFs) are discriminative models which will enable us to label a sequence of input data. Other v... 详细信息
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Neural Graph Revealers  1st
Neural Graph Revealers
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1st International Workshop on Machine Learning for Multimodal Healthcare Data (ML4MHD)
作者: Shrivastava, Harsh Chajewska, Urszula Microsoft Res Redmond WA 98052 USA
Sparse graph recovery methods work well where the data follows their assumptions, however, they are not always designed for doing downstream probabilistic queries. This limits their adoption to only identifying connec... 详细信息
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Insights from the Long-Tail : Learning Latent Representations of Online User Behavior in the Presence of Skew and Sparsity  18
Insights from the Long-Tail : Learning Latent Representation...
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27th ACM International Conference on Information and Knowledge Management (CIKM)
作者: Krishnan, Adit Sharma, Ashish Sundaram, Hari Univ Illinois Champaign IL 61820 USA Microsoft Res Bengaluru India
This paper proposes an approach to learn robust behavior representations in online platforms by addressing the challenges of user behavior skew and sparse participation. Latent behavior models are important in a wide ... 详细信息
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