Search results for "Bayesian"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
22	Han-Saem Park, Ji-Oh Yoo, Sung-Bae Cho	A Context-Aware Music Recommendation System Using Fuzzy Bayesian Networks with Utility Theory.	FSKD	2006	DBLP DOI BibTeX RDF	context-awareness, Bayesian networks, fuzzy system, utility theory, music recommendation system
22	John Burge, Terran Lane	Improving Bayesian Network Structure Search with Random Variable Aggregation Hierarchies.	ECML	2006	DBLP DOI BibTeX RDF	Bayesian network structure search hierarchy fMRI
22	Changting Shi, Rubo Zhang, Ge Yang 0005	Fault Diagnosis of AUV Based on Bayesian Networks.	IMSCCS (2)	2006	DBLP DOI BibTeX RDF	Fault diagnosis, Bayesian Networks, Autonomous Underwater Vehicle, Uncertainty reasoning
22	Seiya Abe, Osamu Mizuno, Tohru Kikuno, Nahomi Kikuchi, Masayuki Hirayama	Estimation of project success using Bayesian classifier.	ICSE	2006	DBLP DOI BibTeX RDF	estimation, Bayesian classifier, project success
22	Youtian Du, Feng Chen 0007, Wenli Xu, Weidong Zhang	Interacting Activity Recognition Using Hierarchical Durational-State Dynamic Bayesian Network.	PCM	2006	DBLP DOI BibTeX RDF	interacting activity recognition, dynamic Bayesian network, local feature, global feature
22	Hyun-Jun Kim, Jenu Shrestha, Heung-Nam Kim, GeunSik Jo	User Action Based Adaptive Learning with Weighted Bayesian Classification for Filtering Spam Mail.	Australian Conference on Artificial Intelligence	2006	DBLP DOI BibTeX RDF	Weighted Bayesian, Concept Drift, Adaptive Learning, Spam Filtering
22	Zi Lu, Jie Lu 0001, Chenggang Bai, Guangquan Zhang 0001	Customer Online Shopping Behaviours Analysis Using Bayesian Networks.	Australian Conference on Artificial Intelligence	2006	DBLP DOI BibTeX RDF	Customer behaviours, Bayesian networks, Inference, E-services
22	Benjamin Piwowarski, Patrick Gallinari	A Bayesian Framework for XML Information Retrieval: Searching and Learning with the INEX Collection.	Inf. Retr.	2005	DBLP DOI BibTeX RDF	structured information retrieval, machine learning for structured retrieval, XML, Bayesian Networks
22	G. Niklas Norén, Roland Orre	Case Based Imprecision Estimates for Bayes Classifiers with the Bayesian Bootstrap.	Mach. Learn.	2005	DBLP DOI BibTeX RDF	case based imprecision estimates, Bayesian bootstrap, naive Bayes, Bayes classifier
22	Jianguo Ding, Bernd J. Krämer, Yingcai Bai, Hansheng Chen 0003	Backward Inference in Bayesian Networks for Distributed Systems Management.	J. Netw. Syst. Manag.	2005	DBLP DOI BibTeX RDF	backward inference, Bayesian networks, uncertainty, Distributed systems management
22	Rong Chen 0005, Edward Herskovits	A Bayesian network classifier with inverse tree structure for voxelwise magnetic resonance image analysis.	KDD	2005	DBLP DOI BibTeX RDF	Bayesian network, magnetic resonance image, classifier, Markov blanket
22	Andrea Bosin, Nicoletta Dessì, Diego Liberati, Barbara Pes	Learning Bayesian Classifiers from Gene-Expression MicroArray Data.	WILF	2005	DBLP DOI BibTeX RDF	Feature Selection, MDL, Bayesian Classifiers, Gene-Expression Data Analysis
22	Sudipto Banerjee, Robert J. Kauffman, Bin Wang 0001	A dynamic Bayesian analysis of the drivers of Internet firm survival.	ICEC	2005	DBLP DOI BibTeX RDF	Internet firms, duration modeling, econometric analysis, firm survival, theory-building research, e-commerce, acquisitions, Bayesian statistics, bankruptcy, mergers, competitive strategy
22	Hei-Chia Wang, Yi-Shiun Lee	Gene Network Prediction from Microarray Data by Association Rule and Dynamic Bayesian Network.	ICCSA (3)	2005	DBLP DOI BibTeX RDF	association rule, dynamic Bayesian network, apriori algorithm, gene network
22	Olivier Lebeltel, Pierre Bessière, Julien Diard, Emmanuel Mazer	Bayesian Robot Programming.	Auton. Robots	2004	DBLP DOI BibTeX RDF	Bayesian robot programming, control of autonomous robots, computational architecture for autonomous systems, theory of autonomous systems
22	Matthew A. Bognar, Mary Kathryn Cowles	Bayesian inference for pairwise interacting point processes.	Stat. Comput.	2004	DBLP DOI BibTeX RDF	pairwise interacting point process, grid-based importance sampling, spatial point pattern, Swedish pine sapling data, Bayesian estimation, Metropolis-Hastings algorithm
22	Sangho Park, Jake K. Aggarwal	A hierarchical Bayesian network for event recognition of human actions and interactions.	Multim. Syst.	2004	DBLP DOI BibTeX RDF	Bayesian network, Motion, Surveillance, Human interaction, Event recognition
22	Peter A. Flach, Nicolas Lachiche	Naive Bayesian Classification of Structured Data.	Mach. Learn.	2004	DBLP DOI BibTeX RDF	first-order features, knowledge representation, inductive logic programming, bayesian classifier, structured data
22	Stefan Axelsson	Combining a bayesian classifier with visualisation: understanding the IDS.	VizSEC	2004	DBLP DOI BibTeX RDF	naive bayesian classification, intrusion detection
22	Silvia Polettini, Julian Stander	A Bayesian Hierarchical Model Approach to Risk Estimation in Statistical Disclosure Limitation.	Privacy in Statistical Databases	2004	DBLP DOI BibTeX RDF	empiricalBayes, individual risk, social survey data, summarising posterior distributions, risk assessment, Mathematica, disclosure risk, Hypergeometric function, Bayesian hierarchical model
22	Zhihai Wang, Geoffrey I. Webb, Fei Zheng 0001	Selective Augmented Bayesian Network Classifiers Based on Rough Set Theory.	PAKDD	2004	DBLP DOI BibTeX RDF	Machine Learning, Bayesian Network, Naive Bayes
22	Min Tang, Yuan-Quan Wang 0001, Pheng-Ann Heng, De-Sen Xia	Tag Stripes Tracking from Cardiac MRI by Bayesian Theory.	MIAR	2004	DBLP DOI BibTeX RDF	tag stripes tracking, Markov Random Field, Bayesian theory
22	Hua Li 0001, Rong Xiao, HongJiang Zhang, Li-Zhong Peng	A Hierarchical Dynamic Bayesian Network Approach to Visual Tracking.	PCM (2)	2004	DBLP DOI BibTeX RDF	sequence monte carlo, Visual tracking, dynamic bayesian network
22	Tom Heskes, Jan-Joost Spanjers, Bart Bakker, Wim Wiegerinck	Optimising newspaper sales using neural-Bayesian technology.	Neural Comput. Appl.	2003	DBLP DOI BibTeX RDF	Neural networks, Bayesian inference, Time-series prediction, Multi-task learning, Feed forward
22	Greg Ridgeway, David Madigan	A Sequential Monte Carlo Method for Bayesian Analysis of Massive Datasets.	Data Min. Knowl. Discov.	2003	DBLP DOI BibTeX RDF	massive datasets, particle filter, mixture model, Bayesian inference, Markov chain Monte Carlo, importance sampling
22	Adnan Darwiche	A differential approach to inference in Bayesian networks.	J. ACM	2003	DBLP DOI BibTeX RDF	compiling probabilistic models, Bayesian networks, Probabilistic reasoning, circuit complexity
22	Zu Whan Kim, Ramakant Nevatia	Expandable Bayesian Networks for 3D Object Description from Multiple Views and Multiple Mode Inputs.	IEEE Trans. Pattern Anal. Mach. Intell.	2003	DBLP DOI BibTeX RDF	Multiview object description, building description, learning, bayesian network, uncertain reasoning
22	Rainer Deventer, Joachim Denzler, Heinrich Niemann, Oliver Kreis	Using Test Plans for Bayesian Modeling.	MLDM	2003	DBLP DOI BibTeX RDF	laserbeam welding, modeling, Bayesian network, manufacturing process
22	Hugo Zaragoza, Djoerd Hiemstra, Michael E. Tipping	Bayesian extension to the language model for ad hoc information retrieval.	SIGIR	2003	DBLP DOI BibTeX RDF	Bayesian language model, ad hoc language model, information retrieval, ad hoc retrieval
22	Georgios Chalkiadakis, Craig Boutilier	Coordination in multiagent reinforcement learning: a Bayesian approach.	AAMAS	2003	DBLP DOI BibTeX RDF	reinforcement learning, Bayesian methods, multiagent learning
22	Wai Lam, Alberto Maria Segre	A Distributed Learning Algorithm for Bayesian Inference Networks.	IEEE Trans. Knowl. Data Eng.	2002	DBLP DOI BibTeX RDF	data mining, distributed systems, Bayesian networks, minimum description length principle
22	Peter Antal, Patrick Glenisson, Geert Fannes	On the potential of domain literature for clustering and Bayesian network learning.	KDD	2002	DBLP DOI BibTeX RDF	data mining, clustering, Bayesian networks, text mining
22	Alfredo Vellido, Paulo J. G. Lisboa	An Electronic Commerce Application of the Bayesian Framework for MLPs: The Effect of Marginalisation and ARD.	Neural Comput. Appl.	2001	DBLP DOI BibTeX RDF	Marginalisation, Electronic commerce, Multi-layer perceptron, Bayesian framework, Reject option, Automatic relevance determination
22	Vassilios Petridis, Athanasios Kehagias, Loukas Petrou, Anastasios G. Bakirtzis, S. Kiartzis, H. Panagiotou, N. Maslaris	A Bayesian Multiple Models Combination Method for Time Series Prediction.	J. Intell. Robotic Syst.	2001	DBLP DOI BibTeX RDF	Bayesian combined predictor, local predictors, time series prediction, short-term load forecasting
22	Nuno Vasconcelos, Andrew Lippman	Empirical Bayesian Motion Segmentation.	IEEE Trans. Pattern Anal. Mach. Intell.	2001	DBLP DOI BibTeX RDF	empirical Bayesian procedures, estimation of hyperparameters, expectation-maximization, Motion segmentation, statistical learning, layered representations
22	Antonio Salmerón, Serafín Moral	Importance Sampling in Bayesian Networks Using Antithetic Variables.	ECSQARU	2001	DBLP DOI BibTeX RDF	probability propagation, antithetic variables, Bayesian networks, importance sampling
22	Serafín Moral, Rafael Rumí, Antonio Salmerón	Mixtures of Truncated Exponentials in Hybrid Bayesian Networks.	ECSQARU	2001	DBLP DOI BibTeX RDF	Hybrid Bayesian networks, MTE distribution, MTE networks, probability propagation, Markov chain Monte Carlo
22	Luis M. de Campos, Juan M. Fernández-Luna, Juan F. Huete	Building Bayesian Network-Based Information Retrieval Systems.	DEXA Workshops	2000	DBLP DOI BibTeX RDF	Bayesian network-based information retrieval systems, intrinsic uncertainty, belief networks
22	Zhong Su, HongJiang Zhang, Shaoping Ma	Using Bayesian classifier in relevant feedback of image retrieval.	ICTAI	2000	DBLP DOI BibTeX RDF	positive feedback examples, negative feedback examples, query space distribution, dibbling process, image penalization, retrieval refinement process, progressive learning capability, past feedback information, image retrieval, relevance feedback, relevance feedback, content-based image retrieval, image classification, content-based retrieval, Bayes methods, Bayesian classifier, query refinement
22	Robert Davis, Armand Prieditis	Designing Optimal Sequential Experiments for a Bayesian Classifier.	IEEE Trans. Pattern Anal. Mach. Intell.	1999	DBLP DOI BibTeX RDF	Machine learning, experimental design, Bayesian classifiers
22	Vladimir Pavlovic 0001, Brendan J. Frey, Thomas S. Huang	Time-Series Classification Using Mixed-State Dynamic Bayesian Networks.	CVPR	1999	DBLP DOI BibTeX RDF	action modeling, hidden Markov models, dynamic Bayesian networks, time-series modeling, linear dynamic systems
22	Ayalvadi J. Ganesh, Peter Green, Neil O'Connell, Susan Pitts	Bayesian network management.	Queueing Syst. Theory Appl.	1998	DBLP DOI BibTeX RDF	risk theory, gambler's ruin, large deviations, telecommunication networks, effective bandwidths, traffic characterization, Bayesian decision theory
22	Paolo Magni, Riccardo Bellazzi, Giuseppe De Nicolao	Bayesian Function Learning Using MCMC Methods.	IEEE Trans. Pattern Anal. Mach. Intell.	1998	DBLP DOI BibTeX RDF	dynamic systems, smoothing, inverse problems, system identification, Bayesian estimation, Markov chain Monte Carlo methods
22	Stephen J. Roberts, Dirk Husmeier, Iead Rezek, William D. Penny	Bayesian Approaches to Gaussian Mixture Modeling.	IEEE Trans. Pattern Anal. Mach. Intell.	1998	DBLP DOI BibTeX RDF	unsupervised learning, Cluster analysis, Gaussian mixture models, Bayesian methods
22	Richard R. Schultz, Robert L. Stevenson	Bayesian estimation of subpixel-resolution motion fields and high-resolution video stills.	ICIP (3)	1997	DBLP DOI BibTeX RDF	subpixel-resolution motion fields, high-resolution video stills, multiframe resolution enhancement methods, low-resolution image sequence frames, subpixel-resolution motion vectors, super-resolution enhancement algorithms, Bayesian motion estimation, discontinuity-preserving prior, Horn-Schunck optical flow estimation, simulations, Bayes methods, block matching, motion field
22	Nuno Vasconcelos, Andrew Lippman	Empirical Bayesian EM-based Motion Segmentation.	CVPR	1997	DBLP DOI BibTeX RDF	Learning in Vision, Segmentation, Expectation-Maximization, Image sequence analysis, Bayesian Learning
22	Robert G. Cowell	On Compatible Priors for Bayesian Networks.	IEEE Trans. Pattern Anal. Mach. Intell.	1996	DBLP DOI BibTeX RDF	Dirichlet priors, local independence, global independence, Bayesian networks, Kullback-Leibler distance
22	V. P. Kumar, Uday B. Desai	Image Interpretation Using Bayesian Networks.	IEEE Trans. Pattern Anal. Mach. Intell.	1996	DBLP DOI BibTeX RDF	Artificial intelligence, object recognition, Bayesian networks, expert systems, decision making, Markov random fields, image interpretation, inference systems
22	Wael A. Hashlamoun, Pramod K. Varshney, V. N. S. Samarasooriya	A Tight Upper Bound on the Bayesian Probability of Error.	IEEE Trans. Pattern Anal. Mach. Intell.	1994	DBLP DOI BibTeX RDF	tight upper bound, Bayesian probability, minimum error probability, pattern recognition, probability, decision theory, Bayes methods, statistical pattern recognition
22	Rafael Molina 0001	On the Hierarchical Bayesian Approach to Image Restoration: Applications to Astronomical Images.	IEEE Trans. Pattern Anal. Mach. Intell.	1994	DBLP DOI BibTeX RDF	hierarchical Bayesian approach, astronomical images, local characteristics, hyperprior, hyperparameters estimation, noise, image restoration, image restoration, maximum likelihood estimation, Bayes methods, image models, astronomy
22	Sudeep Sarkar, Kim L. Boyer	Integration, Inference, and Management of Spatial Information Using Bayesian Networks: Perceptual Organization.	IEEE Trans. Pattern Anal. Mach. Intell.	1993	DBLP DOI BibTeX RDF	top-down visual processes, spatial inference, bottom-up visual processes, perceptual inference network, computer vision, computer vision, Bayesian networks, knowledge based systems, probability, image recognition, image recognition, knowledge base, spatial reasoning, Bayes methods, perceptual organization
21	Michael A. Chappell, Adrian R. Groves, Brandon J. Whitcher, Mark William Woolrich	Variational Bayesian Inference for a Nonlinear Forward Model.	IEEE Trans. Signal Process.	2009	DBLP DOI BibTeX RDF
21	Alessandro Antonucci 0001, Alberto Piatti	Modeling Unreliable Observations in Bayesian Networks by Credal Networks.	SUM	2009	DBLP DOI BibTeX RDF
21	Mirela Andronescu, Mark Brodie	Decision Tree Learning Using a Bayesian Approach at Each Node.	Canadian AI	2009	DBLP DOI BibTeX RDF
21	J. Zico Kolter, Andrew Y. Ng	Near-Bayesian exploration in polynomial time.	ICML	2009	DBLP DOI BibTeX RDF
21	Václav Smídl, Anthony Quinn	Variational Bayesian Filtering.	IEEE Trans. Signal Process.	2008	DBLP DOI BibTeX RDF
21	Chih-Min Fan, Yun-Pei Lu	A Bayesian framework to integrate knowledge-based and data-driven inference tools for reliable yield diagnoses.	WSC	2008	DBLP DOI BibTeX RDF
21	Hideyuki Kawashima, Ryo Sato, Hiroyuki Kitagawa	Models and Issues on Probabilistic Data Streams with Bayesian Networks.	SAINT	2008	DBLP DOI BibTeX RDF
21	Jangsik Cho, Shohei Kato, Hidenori Itoh	A Biphase-Bayesian-Based Method of Emotion Detection from Talking Voice.	KES (3)	2008	DBLP DOI BibTeX RDF
21	Abhishek Singh, Padmini Jaikumar, Suman K. Mitra	A Bayesian Learning Based Approach for Clustering of Satellite Images.	ICVGIP	2008	DBLP DOI BibTeX RDF
21	Shizhuo Zhu, Po-Chun Chen, John Yen	Multi-layer Bayesian Network for Variable-Bound Inference.	IAT	2008	DBLP DOI BibTeX RDF
21	Huang Yihua, Lui Zongyuan, Ling Guojun	An Improved Bayesian-Based RFID Indoor Location Algorithm.	CSSE (3)	2008	DBLP DOI BibTeX RDF
21	Rana Malhas, Zaher Al Aghbari	Using sensitivity of a bayesian network to discover interesting patterns.	AICCSA	2008	DBLP DOI BibTeX RDF
21	Kazuho Watanabe, Masato Okada	Firing Rate Estimation Using an Approximate Bayesian Method.	ICONIP (1)	2008	DBLP DOI BibTeX RDF
21	Zhifeng Li 0001, Xiaoou Tang	Using Support Vector Machines to Enhance the Performance of Bayesian Face Recognition.	IEEE Trans. Inf. Forensics Secur.	2007	DBLP DOI BibTeX RDF
21	José A. Gámez 0001, Juan L. Mateo, José Miguel Puerta	Learning Bayesian Classifiers from Dependency Network Classifiers.	ICANNGA (1)	2007	DBLP DOI BibTeX RDF
21	Jan Poland	On the Consistency of Discrete Bayesian Learning.	STACS	2007	DBLP DOI BibTeX RDF
21	Sherif Akoush, Ahmed Sameh	Bayesian Learning of Neural Networks for Mobile User Position Prediction.	ICCCN	2007	DBLP DOI BibTeX RDF
21	Guo Li, Jianmin Gao, Fumin Chen, Zhiyong Gao	A New Approach for Construction of Diagnostic Bayesian Network.	FSKD (2)	2007	DBLP DOI BibTeX RDF
21	Yu-ling Li, Qizong Wu	Research on Bayesian Network Structure Learning Based on Rough Set.	FSKD (3)	2007	DBLP DOI BibTeX RDF
21	Xiaoqin Zhang 0002, Weiming Hu, Guan Luo, Stephen J. Maybank	Kernel-Bayesian Framework for Object Tracking.	ACCV (1)	2007	DBLP DOI BibTeX RDF
21	Rui Chang, Martin Stetter	Quantitative Bayesian Inference by Qualitative Knowledge Modeling.	IJCNN	2007	DBLP DOI BibTeX RDF
21	Fatih Gelgi, Hasan Davulcu	Baum-Welch Style EM Approach on Simple Bayesian Models forWeb Data Annotation.	Web Intelligence	2007	DBLP DOI BibTeX RDF
21	Qingsong Peng, Ming Zhang, Weimin Wu, Ronggui Wang	Variant Bayesian Networks.	ICDM Workshops	2006	DBLP DOI BibTeX RDF
21	Elon Santos Correa, Jonathan L. Shapiro	Model Complexity vs. Performance in the Bayesian Optimization Algorithm.	PPSN	2006	DBLP DOI BibTeX RDF
21	Hongsheng Su, Qunzhan Li	A Hybrid Deterministic Model Based on Rough set and Fuzzy set and Bayesian Optimal Classifier.	ICICIC (2)	2006	DBLP DOI BibTeX RDF
21	Alireza Shaneh, Gregory Butler	Bayesian Learning for Feed-Forward Neural Network with Application to Proteomic Data: The Glycosylation Sites Detection of the Epidermal Growth Factor-Like Proteins Associated with Cancer as a Case Study.	Canadian AI	2006	DBLP DOI BibTeX RDF
21	Wei Luo 0001	Learning Bayesian Networks in Semi-deterministic Systems.	Canadian AI	2006	DBLP DOI BibTeX RDF
21	Milos Kobliha, Josef Schwarz, Jiri Ocenasek	Bayesian Optimization Algorithms for Dynamic Problems.	EvoWorkshops	2006	DBLP DOI BibTeX RDF
21	Yong Wang 0010, Vinny Cahill, Elizabeth Gray, Colin Harris, Lejian Liao	Bayesian Network Based Trust Management.	ATC	2006	DBLP DOI BibTeX RDF
21	Atul Kanaujia, Dimitris N. Metaxas	Learning Ambiguities Using Bayesian Mixture of Experts.	ICTAI	2006	DBLP DOI BibTeX RDF
21	Alessandro Antonucci 0001, Marco Zaffalon	Equivalence Between Bayesian and Credal Nets on an Updating Problem.	SMPS	2006	DBLP DOI BibTeX RDF
21	Kenji Nagata, Sumio Watanabe	The Exchange Monte Carlo Method for Bayesian Learning in Singular Learning Machines.	IJCNN	2006	DBLP DOI BibTeX RDF
21	Shipeng Yu, Kai Yu 0001, Volker Tresp, Hans-Peter Kriegel	Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures.	ECML	2006	DBLP DOI BibTeX RDF
21	Arindam Banerjee 0001	On Bayesian bounds.	ICML	2006	DBLP DOI BibTeX RDF
21	Wei Wu, Jianzhong Zhou, Li Mo, Chengjun Zhu	Forecasting Electricity Market Price Spikes Based on Bayesian Expert with Support Vector Machines.	ADMA	2006	DBLP DOI BibTeX RDF
21	Yaniv Gurwicz, Boaz Lerner	Bayesian Class-Matched Multinet Classifier.	SSPR/SPR	2006	DBLP DOI BibTeX RDF
21	Kyu Baek Hwang, Byoung-Hee Kim, Byoung-Tak Zhang	Learning Hierarchical Bayesian Networks for Large-Scale Data Analysis.	ICONIP (1)	2006	DBLP DOI BibTeX RDF
21	Philipos C. Loizou	Speech Enhancement Based on Perceptually Motivated Bayesian Estimators of the Magnitude Spectrum.	IEEE Trans. Speech Audio Process.	2005	DBLP DOI BibTeX RDF
21	Zhiqiang Yang, Rebecca N. Wright	Improved Privacy-Preserving Bayesian Network Parameter Learning on Vertically Partitioned Data.	ICDE Workshops	2005	DBLP DOI BibTeX RDF
21	George Bearfield, William Marsh 0001	Generalising Event Trees Using Bayesian Networks with a Case Study of Train Derailment.	SAFECOMP	2005	DBLP DOI BibTeX RDF
21	Luis M. de Campos, Francisco Javier García Castellano	On the Use of Restrictions for Learning Bayesian Networks.	ECSQARU	2005	DBLP DOI BibTeX RDF
21	Rui Zhang 0012, Gerry McAllister, Bryan W. Scotney, Sally I. McClean, Glen Houston	Classification of the Auditory Brainstem Response (ABR) Using Wavelet Analysis and Bayesian Network.	CBMS	2005	DBLP DOI BibTeX RDF
21	Shu-Chuan Shih, Bor-Chen Kuo	Using Bayesian Networks for Modeling Students' Learning Bugs and Sub-skills.	KES (1)	2005	DBLP DOI BibTeX RDF
21	Cédric Rose, Cherif Smaili, François Charpillet	A Dynamic Bayesian Network for Handling Uncertainty in a Decision Support System Adapted to the Monitoring of Patients Treated by Hemodialysis.	ICTAI	2005	DBLP DOI BibTeX RDF
21	Marie desJardins, Priyang Rathod, Lise Getoor	Bayesian Network Learning with Abstraction Hierarchies and Context-Specific Independence.	ECML	2005	DBLP DOI BibTeX RDF
21	Jan Petzold, Andreas Pietzowski, Faruk Bagci, Wolfgang Trumler, Theo Ungerer	Prediction of Indoor Movements Using Bayesian Networks.	LoCA	2005	DBLP DOI BibTeX RDF
21	Shiliang Sun, Changshui Zhang, Yi Zhang 0029	Traffic Flow Forecasting Using a Spatio-temporal Bayesian Network Predictor.	ICANN (2)	2005	DBLP DOI BibTeX RDF
21	Michael J. Kane, Andreas E. Savakis	Bayesian Network Structure Learning and Inference in Indoor vs. Outdoor Image Classification.	ICPR (2)	2004	DBLP DOI BibTeX RDF
21	Wei Wang 0086, Gregory F. Cooper	An Bayesian Method for Biological Pathway Discovery from High-Throughput Experimental Data.	CSB	2004	DBLP DOI BibTeX RDF