• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 1,035 matches

• 2021
• 
  Luis Enrique Sucar:
  Probabilistic Graphical Models - Principles and Applications, Second Edition. Advances in Computer Vision and Pattern Recognition, Springer 2021, ISBN 978-3-030-61942-8, pp. 1-346
• 
  Sean English, Calum MacRury, Pawel Pralat:
  Probabilistic zero forcing on random graphs. Eur. J. Comb. 91: 103207 (2021)
• 
  Cheng Wang, Cheng Wu, Jie Sheng, Bo Ai, Yiming Wang:
  Optimization of Time-Frequency Resource Management Based on Probabilistic Graphical Models in Railway Internet-of-Things Networking. IEEE Internet Things J. 8(6): 4788-4801 (2021)
• 
  Adam Brown, Omer Bobrowski, Elizabeth Munch, Bei Wang:
  Probabilistic convergence and stability of random mapper graphs. J. Appl. Comput. Topol. 5(1): 99-140 (2021)
• 
  Xiaoming Liu, Yu Lan, Yadong Zhou, Chao Shen, Xiaohong Guan:
  A real-time explainable traffic collision inference framework based on probabilistic graph theory. Knowl. Based Syst. 212: 106442 (2021)
• 
  Louigi Addario-Berry, Shankar Bhamidi, Sanchayan Sen:
  A probabilistic approach to the leader problem in random graphs. Random Struct. Algorithms 58(1): 34-67 (2021)
• 
  Malihe Danesh, Morteza Dorrigiv, Farzin Yaghmaee:
  Ensemble-based clustering of large probabilistic graphs using neighborhood and distance metric learning. J. Supercomput. 77(4): 4107-4134 (2021)
• 
  Feng Liu, Li Wang, Yifei Lou, Ren-Cang Li, Patrick L. Purdon:
  Probabilistic Structure Learning for EEG/MEG Source Imaging With Hierarchical Graph Priors. IEEE Trans. Medical Imaging 40(1): 321-334 (2021)
• 
  Li Wang, Raymond H. Chan, Tieyong Zeng:
  Probabilistic Semi-Supervised Learning via Sparse Graph Structure Learning. IEEE Trans. Neural Networks Learn. Syst. 32(2): 853-867 (2021)
• 
  Qin Lu, Georgios B. Giannakis:
  Probabilistic Reconstruction of Spatio-Temporal Processes Over Multi-Relational Graphs. IEEE Trans. Signal Inf. Process. over Networks 7: 166-176 (2021)
• 
  Tobias Rapp, Christoph Peters, Carsten Dachsbacher:
  Visual Analysis of Large Multivariate Scattered Data using Clustering and Probabilistic Summaries. IEEE Trans. Vis. Comput. Graph. 27(2): 1580-1590 (2021)
• 
  Hugo Paquet:
  Bayesian strategies: probabilistic programs as generalised graphical models. ESOP 2021: 519-547
• 
  Maria Maximova, Sven Schneider, Holger Giese:
  Compositional Analysis of Probabilistic Timed Graph Transformation Systems. FASE 2021: 196-217
• 
  Weiming Feng, Kun He, Xiaoming Sun, Yitong Yin:
  Dynamic Inference in Probabilistic Graphical Models. ITCS 2021: 25:1-25:20
• 
  Dan Xu, Xavier Alameda-Pineda, Wanli Ouyang, Elisa Ricci, Xiaogang Wang, Nicu Sebe:
  Probabilistic Graph Attention Network with Conditional Kernels for Pixel-Wise Prediction. CoRR abs/2101.02843 (2021)
• 
  Gengcong Yang, Jingyi Zhang, Yong Zhang, Baoyuan Wu, Yujiu Yang:
  Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation. CoRR abs/2103.05271 (2021)
• 
  Aynur Guluzade, Endri Kacupaj, Maria Maleshkova:
  Demographic Aware Probabilistic Medical Knowledge Graph Embeddings of Electronic Medical Records. CoRR abs/2103.11951 (2021)
• 2020
• 
  Dong Liu:
  Perspectives on Probabilistic Graphical Models. KTH Royal Institute of Technology, Stockholm, Sweden, 2020
• 
  Noam Hazon, Mira Gonen:
  Probabilistic physical search on general graphs: approximations and heuristics. Auton. Agents Multi Agent Syst. 34(1): 1 (2020)
• 
  Rugao Gao, Keping Zhou, Chun Yang, Ke Zhu:
  An Underground Mine Risk Identification Model and Safety Management Method Based on Explanation Graph-Probabilistic Multi-Plan Analysis (EG-PMPA). IEEE Access 8: 223214-223233 (2020)
• 
  Ivan Glasser, Nicola Pancotti, J. Ignacio Cirac:
  From Probabilistic Graphical Models to Generalized Tensor Networks for Supervised Learning. IEEE Access 8: 68169-68182 (2020)
• 
  Mohammad Ali Javidian, Zhiyu Wang, Linyuan Lu, Marco Valtorta:
  On a hypergraph probabilistic graphical model. Ann. Math. Artif. Intell. 88(9): 1003-1033 (2020)
• 
  Akira Kinose, Tadahiro Taniguchi:
  Integration of imitation learning using GAIL and reinforcement learning using task-achievement rewards via probabilistic graphical model. Adv. Robotics 34(16): 1055-1067 (2020)
• 
  Mireia Vilardell, Maria Buxó, Ramon Clèries, José Miguel Martínez, Gemma Garcia, Alberto Ameijide, Rebeca Font, Sergi Civit, Rafael Marcos-Gragera, Maria Loreto Vilardell, Marià Carulla, Josep Alfons Espinàs, Jaume Galceran, Angel Izquierdo, Josep Maria Borràs:
  Missing data imputation and synthetic data simulation through modeling graphical probabilistic dependencies between variables (ModGraProDep): An application to breast cancer survival. Artif. Intell. Medicine 107: 101875 (2020)
• 
  Zaobo He, Junxiu Zhou:
  Inference attacks on genomic data based on probabilistic graphical models. Big Data Min. Anal. 3(3): 225-233 (2020)
• 
  Stephen Kotiang, Ali Eslami:
  A probabilistic graphical model for system-wide analysis of gene regulatory networks. Bioinform. 36(10): 3192-3199 (2020)
• 
  Saeed Ghorbani, Calden Wloka, Ali Etemad, Marcus A. Brubaker, Nikolaus F. Troje:
  Probabilistic Character Motion Synthesis using a Hierarchical Deep Latent Variable Model. Comput. Graph. Forum 39(8): 225-239 (2020)
• 
  Philip Trettner, Leif Kobbelt:
  Fast and Robust QEF Minimization using Probabilistic Quadrics. Comput. Graph. Forum 39(2): 325-334 (2020)
• 
  João V. Souza das Chagas, Roberto F. Ivo, Matheus T. Guimarães, Douglas de A. Rodrigues, Elizângela de S. Rebouças, Pedro Pedrosa Rebouças Filho:
  Fast fully automatic skin lesions segmentation probabilistic with Parzen window. Comput. Medical Imaging Graph. 85: 101774 (2020)
• 
  Lu Zheng, Zhen He, Shuguang He:
  A novel probabilistic graphic model to detect product defects from social media data. Decis. Support Syst. 137: 113369 (2020)

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