Search results for "PGM"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
157	Spyros S. Magliveras, Nasir D. Memon	Properties of Cryptosystem PGM.	CRYPTO	1989	DBLP DOI BibTeX RDF
150	Li Lao, Constantine Dovrolis, M. Y. Sanadidi	The probe gap model can underestimate the available bandwidth of multihop paths.	Comput. Commun. Rev.	2006	DBLP DOI BibTeX RDF	probe gap model, network capacity, available bandwidth, packet pair dispersion
150	J. Michael Lake	Prediction by Grammatical Match.	Data Compression Conference	2000	DBLP DOI BibTeX RDF
131	Jason J. Corso, Guangqi Ye, Gregory D. Hager	Analysis of composite gestures with a coherent probabilistic graphical model.	Virtual Real.	2005	DBLP DOI BibTeX RDF	Hand postures, Human computer interaction, Gesture recognition, Probabilistic graphical model, Vision-based interaction
94	Marc Boyer, Mihaela Sighireanu	Synthesis and Verification of Constraints in the PGM Protocol.	FME	2003	DBLP DOI BibTeX RDF	PGM protocol, real-time multicast protocol, finite and timed model-checking, parameterized verification, constraint synthesis
75	Richard S. Stevens	The Processing Graph Method Tool (PGMT).	ASAP	1997	DBLP DOI BibTeX RDF
63	Tamás Horváth 0002, Spyros S. Magliveras, Tran van Trung	A Parallel Permutation Multiplier for a PGM Crypto-chip.	CRYPTO	1994	DBLP DOI BibTeX RDF
56	Guillaume Urvoy-Keller, Taoufik En-Najjary, Alessandro Sorniotti	Operational comparison of available bandwidth estimation tools.	Comput. Commun. Rev.	2008	DBLP DOI BibTeX RDF	available bandwidth
56	Xinming He, Christos Papadopoulos, Pavlin Radoslavov	Incremental deployment strategies for router-assisted reliable multicast.	IEEE/ACM Trans. Netw.	2006	DBLP DOI BibTeX RDF	incremental deployment, router-assisted services, reliable multicast
56	Steve Goddard	Analyzing the Real-Time Properties of a Dataflow Execution Paradigm using a Synthetic Aperture Radar Application.	IEEE Real Time Technology and Applications Symposium	1997	DBLP DOI BibTeX RDF
56	Andrea Caranti, Francesca Dalla Volta	The Round Functions of Cryptosystem PGM Generate the Symmetric Group.	Des. Codes Cryptogr.	2006	DBLP DOI BibTeX RDF	Permutation group mappings (PGM), exact-transversal logarithmic signatures, transversal group bases, primitive permutation groups, symmetric group
51	Chiyu Dong, John M. Dolan, Bakhtiar Litkouhi	Interactive ramp merging planning in autonomous driving: Multi-merging leading PGM (MML-PGM).	ITSC	2017	DBLP DOI BibTeX RDF
50	Tamás Horváth 0002	Arithmetic Design for Permutation Groups.	CHES	1999	DBLP DOI BibTeX RDF	permutation multiplier, destination-tag routing, separation network, binary group, secret-key cryptosystem, PGM, switching network, sorting network, compact representation
48	Antonio Salmerón, Rafael Rumí (eds.)	International Conference on Probabilistic Graphical Models, PGM 2022, 5-7 October 2022, Almería, Spain.	PGM	2022	DBLP BibTeX RDF
48	Carlos Villa-Blanco, Alessandro Bregoli, Concha Bielza, Pedro Larrañaga, Fabio Stella	Structure learning algorithms for multidimensional continuous-time Bayesian network classifiers.	PGM	2022	DBLP BibTeX RDF
48	Jelin Leslin, Antti Hyttinen, Karthekeyan Periasamy, Lingyun Yao, Martin Trapp 0001, Martin Andraud	A Hardware Perspective to Evaluating Probabilistic Circuits.	PGM	2022	DBLP BibTeX RDF
48	Verónica Rodríguez-López, Luis Enrique Sucar	Knowledge transfer for learning subject-specific causal models.	PGM	2022	DBLP BibTeX RDF
48	Swaraj Pawar, Prashant Doshi	Anytime Learning of Sum-Product and Sum-Product-Max Networks.	PGM	2022	DBLP BibTeX RDF
48	Athresh Karanam, Saurabh Mathur 0002, Predrag Radivojac, David M. Haas, Kristian Kersting, Sriraam Natarajan	Explaining Deep Tractable Probabilistic Models: The sum-product network case.	PGM	2022	DBLP BibTeX RDF
48	Marco Zaffalon, Alessandro Antonucci 0001, Rafael Cabañas 0001, David Huber 0001, Dario Azzimonti	Bounding Counterfactuals under Selection Bias.	PGM	2022	DBLP BibTeX RDF
48	Thijs van Ommen, Mathias Drton	Graphical Representations for Algebraic Constraints of Linear Structural Equations Models.	PGM	2022	DBLP BibTeX RDF
48	Enrico Giudice, Jack Kuipers, Giusi Moffa	The Dual PC Algorithm for Structure Learning.	PGM	2022	DBLP BibTeX RDF
48	Anders L. Madsen, Kristian G. Olesen, Frank Jensen, Per Henriksen, Thomas Mulvad Larsen, Jørn Munkhof Møller	Online Updating of Conditional Linear Gaussian Bayesian Networks.	PGM	2022	DBLP BibTeX RDF
48	Rafael Ballester-Ripoll, Manuele Leonelli	You Only Derive Once (YODO): Automatic Differentiation for Efficient Sensitivity Analysis in Bayesian Networks.	PGM	2022	DBLP BibTeX RDF
48	Manuele Leonelli, Gherardo Varando	Highly Efficient Structural Learning of Sparse Staged Trees.	PGM	2022	DBLP BibTeX RDF
48	Bart van Erp, Bert de Vries	Online Single-Microphone Source Separation using Non-Linear Autoregressive Models.	PGM	2022	DBLP BibTeX RDF
48	Tianle Yang, Joe Suzuki	The Functional LiNGAM.	PGM	2022	DBLP BibTeX RDF
48	Zhennan Wu, Roni Khardon	Approximate Inference for Stochastic Planning in Factored Spaces.	PGM	2022	DBLP BibTeX RDF
48	Shouta Sugahara, Wakaba Kishida, Koya Kato, Maomi Ueno	Recursive autonomy identification-based learning of augmented naive Bayes classifiers.	PGM	2022	DBLP BibTeX RDF
48	Peter Strong, Jim Q. Smith	Bayesian Model Averaging of Chain Event Graphs for Robust Explanatory Modelling.	PGM	2022	DBLP BibTeX RDF
48	Arquímides Méndez-Molina, Eduardo F. Morales 0001, Luis Enrique Sucar	Causal Discovery and Reinforcement Learning: A Synergistic Integration.	PGM	2022	DBLP BibTeX RDF
48	Iván Pérez 0006, Jirí Vomlel	On the rank of 2×2×2 probability tables.	PGM	2022	DBLP BibTeX RDF
48	Alex Markham, Danai Deligeorgaki, Pratik Misra, Liam Solus	A Transformational Characterization of Unconditionally Equivalent Bayesian Networks.	PGM	2022	DBLP BibTeX RDF
48	Johan Kwisthout	Speeding up approximate MAP by applying domain knowledge about relevant variables.	PGM	2022	DBLP BibTeX RDF
48	Marco Scutari, Christopher Marquis, Laura Azzimonti	Using Mixed-Effects Models to Learn Bayesian Networks from Related Data Sets.	PGM	2022	DBLP BibTeX RDF
48	Mariana Vargas Vieyra	Robust Estimation of Laplacian Constrained Gaussian Graphical Models with Trimmed Non-convex Regularization.	PGM	2022	DBLP BibTeX RDF
48	Anders L. Madsen, S. Jannicke Moe, Thomas Braunbeck, Kristin A. Connors, Michelle Embry, Kristin Schirmer, Stefan Scholz, Raoul Wolf, Adam A. Lillicrap	A Decision Support System to Predict Acute Fish Toxicity.	PGM	2022	DBLP BibTeX RDF
48	Marcel Gehrke, Ralf Möller 0001, Tanya Braun	Who did it? Identifying the Most Likely Origins of Events.	PGM	2022	DBLP BibTeX RDF
48	Pierre Gillot, Pekka Parviainen	Convergence of Feedback Arc Set-Based Heuristics for Linear Structural Equation Models.	PGM	2022	DBLP BibTeX RDF
48	Barry R. Cobb	Limited Memory Influence Diagrams for Attribute Statistical Process Control with Variable Sample Sizes.	PGM	2022	DBLP BibTeX RDF
48	Silja Renooij	Relevance for Robust Bayesian Network MAP-Explanations.	PGM	2022	DBLP BibTeX RDF
48	Antonio Salmerón, Helge Langseth, Andrés R. Masegosa, Thomas D. Nielsen	A Reparameterization of Mixtures of Truncated Basis Functions and its Applications.	PGM	2022	DBLP BibTeX RDF
48	Jorge Casajús-Setién, Concha Bielza, Pedro Larrañaga	Evolutive Adversarially-Trained Bayesian Network Autoencoder for Interpretable Anomaly Detection.	PGM	2022	DBLP BibTeX RDF
48	Charupriya Sharma, Peter van Beek	Scalable Bayesian Network Structure Learning with Splines.	PGM	2022	DBLP BibTeX RDF
48	Christophe Gonzales, Axel Journe, Ahmed Mabrouk	A Hybrid Algorithm for Learning Causal Networks using Uncertain Experts' Knowledge.	PGM	2022	DBLP BibTeX RDF
48	Alberto Roverato, Dung Ngoc Nguyen	Model inclusion lattice of coloured Gaussian graphical models for paired data.	PGM	2022	DBLP BibTeX RDF
48	Juan C. Alfaro, Juan A. Aledo, José A. Gámez 0001	Integrating Bayesian network classifiers to deal with the partial label ranking problem.	PGM	2022	DBLP BibTeX RDF
48	Hans L. Bodlaender, Nils Donselaar, Johan Kwisthout	Parameterized Completeness Results for Bayesian Inference.	PGM	2022	DBLP BibTeX RDF
48	Enrique Valero-Leal, Pedro Larrañaga, Concha Bielza	Interpreting Time-Varying Dynamic Bayesian Networks for Earth Climate Modelling.	PGM	2022	DBLP BibTeX RDF
48	Frantisek Kratochvíl, Václav Kratochvíl, Jirí Vomlel	Learning Noisy-Or Networks with an Application in Linguistics.	PGM	2022	DBLP BibTeX RDF
48	Kiattikun Chobtham, Anthony C. Constantinou	Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound.	PGM	2022	DBLP BibTeX RDF
48	Manfred Jaeger, Thomas Dyhre Nielsen (eds.)	International Conference on Probabilistic Graphical Models, PGM 2020, 23-25 September 2020, Aalborg, Hotel Comwell Rebild Bakker, Skørping, Denmark.	PGM	2020	DBLP BibTeX RDF
48	Karine Chubarian, György Turán	Approximating bounded tree-width Bayesian network classifiers with OBDD.	PGM	2020	DBLP BibTeX RDF
48	Xiufan Yu, Karthikeyan Shanmugam, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Lingzhou Xue	Hawkesian Graphical Event Models.	PGM	2020	DBLP BibTeX RDF
48	Nandini Ramanan, Mayukh Das, Kristian Kersting, Sriraam Natarajan	Discriminative Non-Parametric Learning of Arithmetic Circuits.	PGM	2020	DBLP BibTeX RDF
48	Verónica Rodríguez-López, Luis Enrique Sucar	Knowledge Transfer for Learning Markov Equivalence Classes.	PGM	2020	DBLP BibTeX RDF
48	Fabrizio Ventola, Karl Stelzner, Alejandro Molina 0001, Kristian Kersting	Residual Sum-Product Networks.	PGM	2020	DBLP BibTeX RDF
48	Linda C. van der Gaag, Silja Renooij, Alessandro Facchini	Building Causal Interaction Models by Recursive Unfolding.	PGM	2020	DBLP BibTeX RDF
48	Rafael Cabañas 0001, Alessandro Antonucci 0001, David Huber 0001, Marco Zaffalon	CREDICI: A Java Library for Causal Inference by Credal Networks.	PGM	2020	DBLP BibTeX RDF
48	Cory J. Butz, Jhonatan de S. Oliveira, Robert Peharz	Sum-Product Network Decompilation.	PGM	2020	DBLP BibTeX RDF
48	Gaspard Ducamp, Philippe Bonnard, Anthony Nouy, Pierre-Henri Wuillemin	An Efficient Low-Rank Tensors Representation for Algorithms in Complex Probabilistic Graphical Models.	PGM	2020	DBLP BibTeX RDF
48	Jonathan Serrano-Pérez, Luis Enrique Sucar	PGM_PyLib: A Toolkit for Probabilistic Graphical Models in Python.	PGM	2020	DBLP BibTeX RDF
48	Evan Dufraisse, Philippe Leray 0001, Raphaël Nedellec, Tarek Benkhelif	Interactive Anomaly Detection in Mixed Tabular Data using Bayesian Networks.	PGM	2020	DBLP BibTeX RDF
48	Kari Rantanen, Antti Hyttinen, Matti Järvisalo	Learning Optimal Cyclic Causal Graphs from Interventional Data.	PGM	2020	DBLP BibTeX RDF
48	Veronica Tozzo, Davide Garbarino, Annalisa Barla	Missing Values in Multiple Joint Inference of Gaussian Graphical Models.	PGM	2020	DBLP BibTeX RDF
48	Rafael Cabañas 0001, Javier Cózar, Antonio Salmerón, Andrés R. Masegosa	Probabilistic Graphical Models with Neural Networks in InferPy.	PGM	2020	DBLP BibTeX RDF
48	Laura Azzimonti, Giorgio Corani, Marco Scutari	Structure Learning from Related Data Sets with a Hierarchical Bayesian Score.	PGM	2020	DBLP BibTeX RDF
48	David Huber 0001, Rafael Cabañas 0001, Alessandro Antonucci 0001, Marco Zaffalon	CREMA: A Java Library for Credal Network Inference.	PGM	2020	DBLP BibTeX RDF
48	Wolfgang Roth, Franz Pernkopf	Differentiable TAN Structure Learning for Bayesian Network Classifiers.	PGM	2020	DBLP BibTeX RDF
48	Radim Jirousek	On a possibility of gradual model-learning.	PGM	2020	DBLP BibTeX RDF
48	Pierre Clavier, Olivier Bouaziz, Grégory Nuel	Gaussian Sum-Product Networks Learning in the Presence of Interval Censored Data.	PGM	2020	DBLP BibTeX RDF
48	Konrad P. Mielke, Tom Claassen, Mark A. J. Huijbregts, Aafke M. Schipper, Tom M. Heskes	Discovering cause-effect relationships in spatial systems with a known direction based on observational data.	PGM	2020	DBLP BibTeX RDF
48	Tomás Pevný, Václav Smídl, Martin Trapp, Ondrej Polácek, Tomás Oberhuber	Sum-Product-Transform Networks: Exploiting Symmetries using Invertible Transformations.	PGM	2020	DBLP BibTeX RDF
48	Alex Markham, Aditya Chivukula, Moritz Grosse-Wentrup	MeDIL: A Python Package for Causal Modelling.	PGM	2020	DBLP BibTeX RDF
48	Konstantina Biza, Ioannis Tsamardinos, Sofia Triantafillou	Tuning Causal Discovery Algorithms.	PGM	2020	DBLP BibTeX RDF
48	Alessandro Bregoli, Marco Scutari, Fabio Stella	Constraing-Based Learning for Continous-Time Bayesian Networks.	PGM	2020	DBLP BibTeX RDF
48	Thomas D. Nielsen, Manfred Jaeger	Preface.	PGM	2020	DBLP BibTeX RDF
48	Jos van de Wolfshaar, Andrzej Pronobis	Deep Generalized Convolutional Sum-Product Networks.	PGM	2020	DBLP BibTeX RDF
48	Milan Studený, James Cussens, Václav Kratochvíl	Dual Formulation of the Chordal Graph Conjecture.	PGM	2020	DBLP BibTeX RDF
48	Fan Ding, Yexiang Xue	Contrastive Divergence Learning with Chained Belief Propagation.	PGM	2020	DBLP BibTeX RDF
48	Luis E. Ortiz, Boshen Wang, Ze Gong	Correlated Equilibria for Approximate Variational Inference in MRFs.	PGM	2020	DBLP BibTeX RDF
48	Topi Talvitie, Pekka Parviainen	Learning Bayesian Networks with Cops and Robbers.	PGM	2020	DBLP BibTeX RDF
48	Tjebbe Bodewes, Marco Scutari	Identifiability and Consistency of Bayesian Network Structure Learning from Incomplete Data.	PGM	2020	DBLP BibTeX RDF
48	Anders L. Madsen, Kristian G. Olesen, Heidi Lynge Løvschall, Nicolaj Søndberg-Jeppesen, Frank Jensen, Morten Lindblad, Mads Lause Mogensen, Trine Søby Christensen	Prediction of High Risk of Deviations in Home Care Deliveries.	PGM	2020	DBLP BibTeX RDF
48	Pierre Gillot, Pekka Parviainen	Scalable Bayesian Network Structure Learning via Maximum Acyclic Subgraph.	PGM	2020	DBLP BibTeX RDF
48	Mattis Hartwig, Ralf Möller 0001	Lifted Query Answering in Gaussian Bayesian Networks.	PGM	2020	DBLP BibTeX RDF
48	Shouta Sugahara, Itsuki Aomi, Maomi Ueno	Bayesian Network Model Averaging Classifiers by Subbagging.	PGM	2020	DBLP BibTeX RDF
48	Kiattikun Chobtham, Anthony C. Constantinou	Bayesian network structure learning with causal effects in the presence of latent variables.	PGM	2020	DBLP BibTeX RDF
48	Yizuo Chen, Arthur Choi, Adnan Darwiche	Supervised Learning with Background Knowledge.	PGM	2020	DBLP BibTeX RDF
48	Cong Chen, Jiaqi Yang 0007, Chao Chen 0012, Changhe Yuan	Solving Multiple Inference by Minimizing Expected Loss.	PGM	2020	DBLP BibTeX RDF
48	Yujia Shen, Arthur Choi, Adnan Darwiche	A New Perspective on Learning Context-Specific Independence.	PGM	2020	DBLP BibTeX RDF
48	Denis Deratani Mauá, Heitor Ribeiro Reis, Gustavo Perez Katague, Alessandro Antonucci 0001	Two Reformulation Approaches to Maximum-A-Posteriori Inference in Sum-Product Networks.	PGM	2020	DBLP BibTeX RDF
48	Anders L. Madsen, Kristian G. Olesen, Jørn Munkhof Møller, Nicolaj Søndberg-Jeppesen, Frank Jensen, Thomas Mulvad Larsen, Per Henriksen, Morten Lindblad, Trine Søby Christensen	A Software System for Predicting Patient Flow at the Emergency Department of Aalborg University Hospital.	PGM	2020	DBLP BibTeX RDF
48	George Orfanides, Aritz Pérez	Learning decomposable models by coarsening.	PGM	2020	DBLP BibTeX RDF
48	Cen Wan, Alex Alves Freitas	Hierarchical Dependency Constrained Averaged One-Dependence Estimators Classifiers for Hierarchical Feature Spaces.	PGM	2020	DBLP BibTeX RDF
48	Cassio P. de Campos	Almost No News on the Complexity of MAP in Bayesian Networks.	PGM	2020	DBLP BibTeX RDF
48	Teny Handhayani, James Cussens	Kernel-based Approach for Learning Causal Graphs from Mixed Data.	PGM	2020	DBLP BibTeX RDF
48	Linda C. van der Gaag, Janneke H. Bolt	Poset Representations for Sets of Elementary Triplets.	PGM	2020	DBLP BibTeX RDF
48	Xiaoting Shao, Alejandro Molina 0001, Antonio Vergari, Karl Stelzner, Robert Peharz, Thomas Liebig, Kristian Kersting	Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures.	PGM	2020	DBLP BibTeX RDF
48	Marco Zaffalon, Alessandro Antonucci 0001, Rafael Cabañas 0001	Structural Causal Models Are (Solvable by) Credal Networks.	PGM	2020	DBLP BibTeX RDF