Search results for "noisy-or"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
23	Sungsoo Lim, Sung-Bae Cho	Automatic Construction of Bayesian Networks for Conversational Agent.	ICIC (2)	2005	DBLP DOI BibTeX RDF	Noisy-OR gate, Bayesian network, Script, Hierarchical structure, Conversational agent
21	John F. Lemmer, D. E. Gossink	Recursive noisy OR - a rule for estimating complex probabilistic interactions.	IEEE Trans. Syst. Man Cybern. Part B	2004	DBLP DOI BibTeX RDF
14	Ruxandra Lupas Scheiterer, Dragan Obradovic, Volker Tresp	Tailored-to-Fit Bayesian Network Modeling of Expert Diagnostic Knowledge.	J. VLSI Signal Process.	2007	DBLP DOI BibTeX RDF	Bayesian networks for troubleshooting and diagnosis, noisy OR, proxy model, probabilistic information experts feel confident in estimating, generation of a model that matches as closely as possible the probabilistic information provided by experts, smallest forward-backward expert-based model, closest match, expert systems, probabilistic model, causal model, model generation
14	Elena Zheleva, Lise Getoor	Preserving the Privacy of Sensitive Relationships in Graph Data.	PinKDD	2007	DBLP DOI BibTeX RDF	noisy-or, graph data, privacy, anonymization, social network analysis, identification, link mining
14	Daniel Nikovski	Constructing Bayesian Networks for Medical Diagnosis from Incomplete and Partially Correct Statistics.	IEEE Trans. Knowl. Data Eng.	2000	DBLP DOI BibTeX RDF	combining risk factors, leaky noisy-OR nodes, Bayesian networks, medical diagnosis
14	Lei Wu, Zhiwei Li 0006, Mingjing Li, Wei-Ying Ma, Nenghai Yu	Mutually beneficial learning with application to on-line news classification.	PIKM	2007	DBLP DOI BibTeX RDF	implicit domain knowledge, mutually beneficial learning, news classification, local structure
14	Anthony Ruto, Bernard F. Buxton	Application of a Robust and Efficient ICP Algorithm for Fitting a Deformable 3D Human Torso Model to Noisy Data.	DICTA	2005	DBLP DOI BibTeX RDF
9	Yang Xiang, Yu Li, Zoe Jingyu Zhu	Towards Effective Elicitation of NIN-AND Tree Causal Models.	SUM	2009	DBLP DOI BibTeX RDF
9	Fan Wang, Guihua Er, Qionghai Dai	Inequivalent manifold ranking for content-based image retrieval.	ICIP	2008	DBLP DOI BibTeX RDF
9	Hwisung Jung, Massoud Pedram	A stochastic local hot spot alerting technique.	ASP-DAC	2008	DBLP DOI BibTeX RDF
9	Yang Xiang, Ning Jia	Modeling Causal Reinforcement and Undermining for Efficient CPT Elicitation.	IEEE Trans. Knowl. Data Eng.	2007	DBLP DOI BibTeX RDF	elicitaion methods, Uncertainty, knowledge acquisition, knowledge modeling, probabilistic reasoning
9	Steven J. Rennie, Parham Aarabi, Brendan J. Frey	Variational Probabilistic Speech Separation Using Microphone Arrays.	IEEE Trans. Speech Audio Process.	2007	DBLP DOI BibTeX RDF
9	Aoying Zhou, Feng Cao, Ying Yan 0002, Chaofeng Sha, Xiaofeng He	Distributed Data Stream Clustering: A Fast EM-based Approach.	ICDE	2007	DBLP DOI BibTeX RDF
9	Stefan Schulte 0001, Valérie De Witte, Mike Nachtegael, Dietrich Van der Weken, Etienne E. Kerre	A New Fuzzy Filter for the Reduction of Randomly Valued Impulse Noise.	ICIP	2006	DBLP DOI BibTeX RDF
9	Rasa Jurgelenaite, Tom Heskes	EM Algorithm for Symmetric Causal Independence Models.	ECML	2006	DBLP DOI BibTeX RDF
9	Kazuhiko Kawamoto, Kaoru Hirota	Curve Tracking by Hypothesis Propagation and Voting-Based Verification.	IWCIA	2004	DBLP DOI BibTeX RDF
9	Ohad Ben-Shahar, Patrick S. Huggins, Steven W. Zucker	On Computing Visual Flows with Boundaries: The Case of Shading and Edges.	Biologically Motivated Computer Vision	2002	DBLP DOI BibTeX RDF
9	Soufiane Rital, Alain Bretto, Driss Aboutajdine, Hocine Cherifi	Application of Adaptive Hypergraph Model to Impulsive Noise Detection.	CAIP	2001	DBLP DOI BibTeX RDF	hypergraph theory, coise detection, combinatorial model
9	Alain Bretto, Hocine Cherifi	Noise Detection and Cleaning by Hypergraph Model.	ITCC	2000	DBLP DOI BibTeX RDF
9	Mikko T. Syrjäsuo, Tuija I. Pulkkinen	Determining the Skeletons of the Auroras.	ICIAP	1999	DBLP DOI BibTeX RDF
9	Peter J. F. Lucas	Certainty-Factor-Like Structures in Bayesian Networks.	AI*IA	1999	DBLP DOI BibTeX RDF
8	Shuyi Xie, Zimeng Huang, Gang Wu, Jinheng Luo, Lifeng Li, Weifeng Ma, Bohong Wang	Combining precursor and Cloud Leaky noisy-OR logic gate Bayesian network for dynamic probability analysis of major accidents in the oil depots.	Reliab. Eng. Syst. Saf.	2024	DBLP DOI BibTeX RDF
8	Guohua Chen, Geliang Li, Mulin Xie, Qiming Xu, Geng Zhang	A probabilistic analysis method based on Noisy-OR gate Bayesian network for hydrogen leakage of proton exchange membrane fuel cell.	Reliab. Eng. Syst. Saf.	2024	DBLP DOI BibTeX RDF
8	Lokesh Devaraj, Qazi Mashaal Khan, Alastair R. Ruddle, Alistair P. Duffy, Richard Perdriau, Mohsen Koohestani	Improvements proposed to noisy-OR derivatives for multi-causal analysis: A case study of simultaneous electromagnetic disturbances.	Int. J. Approx. Reason.	2024	DBLP DOI BibTeX RDF
8	Jirí Vomlel, Václav Kratochvíl, Frantisek Kratochvíl	Structural learning of mixed noisy-OR Bayesian networks.	Int. J. Approx. Reason.	2023	DBLP DOI BibTeX RDF
8	Antoine Dedieu, Guangyao Zhou, Dileep George, Miguel Lázaro-Gredilla	Learning noisy-OR Bayesian Networks with Max-Product Belief Propagation.	CoRR	2023	DBLP DOI BibTeX RDF
8	Antoine Dedieu, Guangyao Zhou, Dileep George, Miguel Lázaro-Gredilla	Learning Noisy OR Bayesian Networks with Max-Product Belief Propagation.	ICML	2023	DBLP BibTeX RDF
8	Chenyi Ji, Xing Su 0003, Zhongfu Qin, Ahsan Nawaz	Probability Analysis of Construction Risk based on Noisy-or Gate Bayesian Networks.	Reliab. Eng. Syst. Saf.	2022	DBLP DOI BibTeX RDF
8	Frantisek Kratochvíl, Václav Kratochvíl, Jirí Vomlel	Learning Noisy-Or Networks with an Application in Linguistics.	PGM	2022	DBLP BibTeX RDF
8	David A. Quintanar-Gago, Pamela F. Nelson	The extended Recursive Noisy OR model: Static and dynamic considerations.	Int. J. Approx. Reason.	2021	DBLP DOI BibTeX RDF
8	Takashi Sano, Yuuji Ichisugi	Stochastic Neural Variational Learning of Noisy-OR Bayesian Networks for Images.	ICAAI	2021	DBLP DOI BibTeX RDF
8	Charupriya Sharma, Zhenyu A. Liao, James Cussens, Peter van Beek	A Score-and-Search Approach to Learning Bayesian Networks with Noisy-OR Relations.	CoRR	2020	DBLP BibTeX RDF
8	Junjiao Tian, Wesley Cheung, Nathaniel Glaser, Yen-Cheng Liu, Zsolt Kira	UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation.	ICRA	2020	DBLP DOI BibTeX RDF
8	Charupriya Sharma, Zhenyu A. Liao, James Cussens, Peter van Beek	A Score-and-Search Approach to Learning Bayesian Networks with Noisy-OR Relations.	PGM	2020	DBLP BibTeX RDF
8	Yiming Yan, Melissa Ailem, Fei Sha	Amortized Inference of Variational Bounds for Learning Noisy-OR.	AISTATS	2020	DBLP BibTeX RDF
8	Nitin Williams, Gabriele Arnulfo, Sheng H. Wang, Lino Nobili, Satu Palva, J. Matias Palva	Comparison of Methods to Identify Modules in Noisy or Incomplete Brain Networks.	Brain Connect.	2019	DBLP DOI BibTeX RDF
8	Takao Noguchi, Norman E. Fenton, Martin Neil	Addressing the Practical Limitations of Noisy-OR Using Conditional Inter-Causal Anti-Correlation with Ranked Nodes.	IEEE Trans. Knowl. Data Eng.	2019	DBLP DOI BibTeX RDF
8	Norman E. Fenton, Takao Noguchi, Martin Neil	An Extension to the Noisy-OR Function to Resolve the 'Explaining Away' Deficiency for Practical Bayesian Network Problems.	IEEE Trans. Knowl. Data Eng.	2019	DBLP DOI BibTeX RDF
8	Yiming Yan, Melissa Ailem, Fei Sha	Amortized Inference of Variational Bounds for Learning Noisy-OR.	CoRR	2019	DBLP BibTeX RDF
8	Junjiao Tian, Wesley Cheung, Nathan Glaser, Yen-Cheng Liu, Zsolt Kira	UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation.	CoRR	2019	DBLP BibTeX RDF
8	Fangzhou Liao, Ming Liang, Zhe Li 0002, Xiaolin Hu 0001, Sen Song	Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network.	IEEE Trans. Neural Networks Learn. Syst.	2019	DBLP DOI BibTeX RDF
8	Geng Ji 0001, Dehua Cheng, Huazhong Ning, Changhe Yuan, Hanning Zhou, Liang Xiong, Erik B. Sudderth	Variational Training for Large-Scale Noisy-OR Bayesian Networks. (PDF / PS)	UAI	2019	DBLP BibTeX RDF
8	Yun Wang 0005, Juncheng Li 0001, Florian Metze	Comparing the Max and Noisy-Or Pooling Functions in Multiple Instance Learning for Weakly Supervised Sequence Learning Tasks.	CoRR	2018	DBLP BibTeX RDF
8	Yun Wang 0005, Juncheng Li 0001, Florian Metze	Comparing the Max and Noisy-Or Pooling Functions in Multiple Instance Learning for Weakly Supervised Sequence Learning Tasks.	INTERSPEECH	2018	DBLP DOI BibTeX RDF
8	Amelia J. Averitt, Adler J. Perotte	Noisy-Or Risk Allocation Model for Causal Inference.	AMIA	2018	DBLP BibTeX RDF
8	Maryam Ashrafi, Hamid Davoudpour, Vahid Khodakarami	A Bayesian Network to Ease Knowledge Acquisition of Causal Dependence in CREAM: Application of Recursive Noisy-OR Gates.	Qual. Reliab. Eng. Int.	2017	DBLP DOI BibTeX RDF
8	Fangzhou Liao, Ming Liang, Zhe Li 0002, Xiaolin Hu 0001, Sen Song	Evaluate the Malignancy of Pulmonary Nodules Using the 3D Deep Leaky Noisy-or Network.	CoRR	2017	DBLP BibTeX RDF
8	Konstantinos F. Xylogiannopoulos, Panagiotis Karampelas, Reda Alhajj	Text Mining in Unclean, Noisy or Scrambled Datasets for Digital Forensics Analytics.	EISIC	2017	DBLP DOI BibTeX RDF
8	Sanjeev Arora, Rong Ge 0001, Tengyu Ma 0001, Andrej Risteski	Provable learning of noisy-OR networks.	STOC	2017	DBLP DOI BibTeX RDF
8	Kuang Zhou, Arnaud Martin, Quan Pan 0001	The Belief Noisy-OR Model Applied to Network Reliability Analysis.	Int. J. Uncertain. Fuzziness Knowl. Based Syst.	2016	DBLP DOI BibTeX RDF
8	Sanjeev Arora, Rong Ge 0001, Tengyu Ma 0001, Andrej Risteski	Provable learning of Noisy-or Networks.	CoRR	2016	DBLP BibTeX RDF
8	Yusheng Xie, Nan Du 0001, Wei Fan 0001, Jing Zhai, Weicheng Zhu	Variational hybridization and transformation for large inaccurate noisy-or networks.	CoRR	2016	DBLP BibTeX RDF
8	Kuang Zhou, Arnaud Martin, Quan Pan 0001	The belief noisy-or model applied to network reliability analysis.	CoRR	2016	DBLP BibTeX RDF
8	Zhenzhou Wang	A New Approach for Robust Segmentation of the Noisy or Textured Images.	SIAM J. Imaging Sci.	2016	DBLP DOI BibTeX RDF
8	Logan Perreault, Shane Strasser, Monica Thornton, John W. Sheppard	A Noisy-OR Model for Continuous Time Bayesian Networks.	FLAIRS	2016	DBLP BibTeX RDF
8	Jirí Vomlel	Generalizations of the noisy-or model.	Kybernetika	2015	DBLP DOI BibTeX RDF
8	Weizhuo Li	Combining sum-product network and noisy-or model for ontology matching.	OM	2015	DBLP BibTeX RDF
8	Gang Chen 0032, Sargur N. Srihari	A Noisy-Or Discriminative Restricted Boltzmann Machine for Recognizing Handwriting Style Development.	ICFHR	2014	DBLP DOI BibTeX RDF
8	Ajay Nagesh, Gholamreza Haffari, Ganesh Ramakrishnan	Noisy Or-based model for Relation Extraction using Distant Supervision.	EMNLP	2014	DBLP DOI BibTeX RDF
8	John Mark Agosta	"Conditional Inter-Causally Independent" Node Distributions, a Property of "Noisy-Or" Models	CoRR	2013	DBLP BibTeX RDF
8	Sampath Srinivas	A Generalization of the Noisy-Or Model	CoRR	2013	DBLP BibTeX RDF
8	Kurt Huang, Max Henrion	Efficient Search-Based Inference for Noisy-OR Belief Networks: TopEpsilon	CoRR	2013	DBLP BibTeX RDF
8	Yonatan Halpern, David A. Sontag	Unsupervised Learning of Noisy-Or Bayesian Networks.	CoRR	2013	DBLP BibTeX RDF
8	Michael J. Kearns, Yishay Mansour	Exact Inference of Hidden Structure from Sample Data in Noisy-OR Networks	CoRR	2013	DBLP BibTeX RDF
8	Francisco Javier Díez 0001	Parameter Adjustment in Bayes Networks. The generalized noisy OR-gate	CoRR	2013	DBLP BibTeX RDF
8	Yonatan Halpern, David A. Sontag	Unsupervised Learning of Noisy-Or Bayesian Networks.	UAI	2013	DBLP BibTeX RDF
8	Yacine Jernite, Yonatan Halpern, David A. Sontag	Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests.	NIPS	2013	DBLP BibTeX RDF
8	Marat V. Burnashev, Aslan Tchamkerten	Estimating a Random Walk First-Passage Time From Noisy or Delayed Observations.	IEEE Trans. Inf. Theory	2012	DBLP DOI BibTeX RDF
8	Marat V. Burnashev, Aslan Tchamkerten	Estimating a Random Walk First-Passage Time from Noisy or Delayed Observations	CoRR	2012	DBLP BibTeX RDF
8	Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer	Noisy-OR Models with Latent Confounding	CoRR	2012	DBLP BibTeX RDF
8	Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer	Noisy-OR Models with Latent Confounding.	UAI	2011	DBLP BibTeX RDF
8	Marat V. Burnashev, Aslan Tchamkerten	Estimating a Gaussian random walk first-passage time from noisy or delayed observations.	ISIT	2011	DBLP DOI BibTeX RDF
8	Steven P. D. Woudenberg, Linda C. van der Gaag	Using the Noisy-OR Model Can Be Harmful ... But It Often Is Not.	ECSQARU	2011	DBLP DOI BibTeX RDF
8	Alessandro Antonucci 0001	The imprecise noisy-OR gate.	FUSION	2011	DBLP BibTeX RDF
8	Janneke H. Bolt, Linda C. van der Gaag	An Empirical Study of the Use of the Noisy-Or Model in a Real-Life Bayesian Network.	IPMU (1)	2010	DBLP DOI BibTeX RDF
8	Jean Marc Salotti	Noisy-or Nodes for Conditioning Models.	SAB	2010	DBLP DOI BibTeX RDF
8	Sriraam Natarajan, Prasad Tadepalli, Gautam Kunapuli, Jude W. Shavlik	Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule.	ICMLA	2009	DBLP DOI BibTeX RDF	Graphical Models, Statistical Relational Learning
8	Aaron C. Courville, Douglas Eck, Yoshua Bengio	An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism.	NIPS	2009	DBLP BibTeX RDF
8	Vibha Anand, Stephen M. Downs	Probabilistic Asthma Case Finding: A Noisy OR Reformulation.	AMIA	2008	DBLP BibTeX RDF
8	Tomás Singliar, Milos Hauskrecht	Noisy-OR Component Analysis and its Application to Link Analysis.	J. Mach. Learn. Res.	2006	DBLP BibTeX RDF
8	Jirí Vomlel	Noisy-or classifier.	Int. J. Intell. Syst.	2006	DBLP DOI BibTeX RDF
8	Tomás Singliar, Milos Hauskrecht	Variational Learning for Noisy-OR Component Analysis.	SDM	2005	DBLP DOI BibTeX RDF
8	Ganesh Ramakrishnan, Krishna Prasad Chitrapura, Raghu Krishnapuram, Pushpak Bhattacharyya	A model for handling approximate, noisy or incomplete labeling in text classification.	ICML	2005	DBLP DOI BibTeX RDF
8	Fábio Gagliardi Cozman	Axiomatizing Noisy-OR.	ECAI	2004	DBLP BibTeX RDF
8	Adam Zagorecki, Marek J. Druzdzel	An Empirical Study of Probability Elicitation Under Noisy-OR Assumption.	FLAIRS	2004	DBLP BibTeX RDF
8	Agnieszka Onisko, Marek J. Druzdzel, Hanna Wasyluk	Learning Bayesian network parameters from small data sets: application of Noisy-OR gates.	Int. J. Approx. Reason.	2001	DBLP DOI BibTeX RDF
8	Brendan J. Frey, Relu Patrascu, Tommi S. Jaakkola, Jodi Moran	Sequentially Fitting "Inclusive" Trees for Inference in Noisy-OR Networks.	NIPS	2000	DBLP BibTeX RDF
8	B. B. Chaudhuri 0001, P. R. Bhowmik	An approach of clustering data with noisy or imprecise feature measurement.	Pattern Recognit. Lett.	1998	DBLP DOI BibTeX RDF
8	Michael J. Kearns, Yishay Mansour	Exact Inference of Hidden Structure from Sample Data in noisy-OR Networks.	UAI	1998	DBLP BibTeX RDF
8	Kurt Huang, Max Henrion	Efficient Search-Based Inference for noisy-OR Belief Networks: TopEpsilon.	UAI	1996	DBLP BibTeX RDF
8	Mary L. Comer, Edward J. Delp	Parameter Estimation and Segmentation of Noisy or Textured Images using the EM Algorithm and MPM Estimation.	ICIP (2)	1994	DBLP DOI BibTeX RDF
8	Francisco Javier Díez 0001	Parameter adjustment in Bayes networks. The generalized noisy OR-gate.	UAI	1993	DBLP BibTeX RDF
8	Sampath Srinivas	A Generalization of the Noisy-Or Model.	UAI	1993	DBLP BibTeX RDF
8	John Mark Agosta	"Conditional Inter-Causally Independent" Node Distributions, a Property of "Noisy-OR" Models.	UAI	1991	DBLP BibTeX RDF
5	Adam J. Oliner, Alex Aiken	A query language for understanding component interactions in production systems.	ICS	2010	DBLP DOI BibTeX RDF	query language, correlation, logs, production systems, influence
5	Junjun Deng, Hengyong Yu, Jun Ni 0001, Lihe Wang, Ge Wang 0001	Parallelism of iterative CT reconstruction based on local reconstruction algorithm.	J. Supercomput.	2009	DBLP DOI BibTeX RDF	Iterative reconstruction, Local iterative CT reconstruction, Parallel computing, MPI, High performance computing, Image reconstruction, Computed Tomography (CT)
5	Jason R. Stack, Gerald J. Dobeck, Xuejun Liao, Lawrence Carin	Kernel-Matching Pursuits With Arbitrary Loss Functions.	IEEE Trans. Neural Networks	2009	DBLP DOI BibTeX RDF
5	Erheng Zhong, Wei Fan 0001, Jing Peng 0001, Olivier Verscheure, Jiangtao Ren	Universal Learning over Related Distributions and Adaptive Graph Transduction.	ECML/PKDD (2)	2009	DBLP DOI BibTeX RDF
5	Agostino Capponi, Umberto Cherubini	A Copula Function Approach to Infer Correlation in Prediction Markets.	AMMA	2009	DBLP DOI BibTeX RDF
5	Petr Savický, Jirí Vomlel	Triangulation Heuristics for BN2O Networks.	ECSQARU	2009	DBLP DOI BibTeX RDF