Search results for "bayesian"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
80	Kevin B. Korb, Ann E. Nicholson	The Causal Interpretation of Bayesian Networks.	Innovations in Bayesian Networks	2008	DBLP DOI BibTeX RDF	causal discovery, faithfulness, probabilistic causality, causal power, causal responsibility, Bayesian networks, intervention
75	David Heckerman	A Tutorial on Learning with Bayesian Networks.	Innovations in Bayesian Networks	2008	DBLP DOI BibTeX RDF
71	Dawn E. Holmes	Toward a Generalized Bayesian Network.	Innovations in Bayesian Networks	2008	DBLP DOI BibTeX RDF	PACS 02.50.Cw, 89.70.+c, 05.70.-a, 65.40.Gr
66	Arron R. Walker, Binh Pham 0001, Miles Moody	Spatial bayesian learning algorithms for geographic information retrieval.	GIS	2005	DBLP DOI BibTeX RDF	learning Bayesian networks, spatial Bayesian learning, information retrieval, geographic information system, geographic information retrieval
59	Richard E. Neapolitan	A Polemic for Bayesian Statistics.	Innovations in Bayesian Networks	2008	DBLP DOI BibTeX RDF
59	I. S. P. Daryle Niedermayer	An Introduction to Bayesian Networks and Their Contemporary Applications.	Innovations in Bayesian Networks	2008	DBLP DOI BibTeX RDF
58	Dimitrios A. Karras	Efficient MRI Reconstruction Using a Hybrid Framework for Integrating Stepwise Bayesian Restoration and Neural Network Models in a Memory Based Priors System.	HAIS	2008	DBLP DOI BibTeX RDF	MRI Reconstruction, Bayesian Restoration, Bayesian priors, Systems with memory, k-space, SVM, MLP
55	Dawn E. Holmes, Lakhmi C. Jain	Introduction to Bayesian Networks.	Innovations in Bayesian Networks	2008	DBLP DOI BibTeX RDF
53	Martin Gairing, Burkhard Monien, Karsten Tiemann	Selfish routing with incomplete information.	SPAA	2005	DBLP DOI BibTeX RDF	coordination ratio, incomplete information, nash equilibria, selfish routing, bayesian game
51	Eitel J. M. Lauría	An Information-Geometric Approach to Learning Bayesian Network Topologies from Data.	Innovations in Bayesian Networks	2008	DBLP DOI BibTeX RDF
47	Xia Jiang, Michael M. Wagner, Gregory F. Cooper	Modeling the Temporal Trend of the Daily Severity of an Outbreak Using Bayesian Networks.	Innovations in Bayesian Networks	2008	DBLP DOI BibTeX RDF
47	Sylvia B. Nagl, Matthew Williams 0001, Jon Williamson	Objective Bayesian Nets for Systems Modelling and Prognosis in Breast Cancer.	Innovations in Bayesian Networks	2008	DBLP DOI BibTeX RDF
46	Xin Yu, Zhaobao Zheng, Jiangwei Wu, Xubing Zhang, Fang Wu	Texture Classification of Aerial Image Based on Bayesian Networks with Hidden Nodes.	ISICA	2007	DBLP DOI BibTeX RDF	classification, Bayesian networks, aerial images, hidden nodes
43	Claus Möbus, Mark Eilers	Further Steps towards Driver Modeling According to the Bayesian Programming Approach.	HCI (11)	2009	DBLP DOI BibTeX RDF	digital human response models, Bayesian autonomous driver models, learning of human control strategies, probabilistic Bayesian lateral and longitudinal control, human behavior learning and transfer, graphical modeling, driver models, Bayesian Programming
42	Fidel Aznar Gregori, Mar Pujol, Ramón Rizo	BROA: A Bayesian Robotic Agents Architecture.	MICAI	2008	DBLP DOI BibTeX RDF	Bayesian Agents, Autonomous Intelligent Agents, Bayesian Programming
42	Joseph E. Beck, Kai-min Chang, Jack Mostow, Albert T. Corbett	Does Help Help? Introducing the Bayesian Evaluation and Assessment Methodology.	Intelligent Tutoring Systems	2008	DBLP DOI BibTeX RDF	Bayesian Evaluation and Assessment, evaluation, assessment, dynamic Bayesian networks, educational data mining
42	M. Julia Flores, José A. Gámez 0001, Serafín Moral	Use of Explanation Treesto Describe the State Space of a Probabilistic-Based Abduction Problem.	Innovations in Bayesian Networks	2008	DBLP DOI BibTeX RDF
42	Yi-Dong Shen, Qiang Yang 0001	Deriving a Stationary Dynamic Bayesian Network from a Logic Program with Recursive Loops.	ILP	2005	DBLP DOI BibTeX RDF	Probabilistic logic programming (PLP), the well-founded semantics, stationary dynamic Bayesian networks, SLG-resolution
42	Sunita Chulani, Barry W. Boehm, Bert Steece	Bayesian Analysis of Empirical Software Engineering Cost Models.	IEEE Trans. Software Eng.	1999	DBLP DOI BibTeX RDF	software engineering cost models, measurement, metrics, project management, Bayesian analysis, COCOMO, multiple regression, prediction accuracy, software estimation, empirical modeling, model calibration
42	Jesús Cerquides, Ramón López de Mántaras	Maximum a Posteriori Tree Augmented Naive Bayes Classifiers.	Discovery Science	2004	DBLP DOI BibTeX RDF	decomposable distributions, Bayesian networks, Naive Bayes, Bayesian network classifiers, Bayesian model averaging
41	Alexandre Renaux, Philippe Forster, Pascal Larzabal, Christ D. Richmond, Arye Nehorai	A Fresh Look at the Bayesian Bounds of the Weiss-Weinstein Family.	IEEE Trans. Signal Process.	2008	DBLP DOI BibTeX RDF
41	Olav Bangsø, M. Julia Flores, Finn Verner Jensen	Plug & Play Object Oriented Bayesian Networks.	CAEPIA	2003	DBLP DOI BibTeX RDF
41	Alexandros Pappas, Duncan Fyfe Gillies	A New Measure for the Accuracy of a Bayesian Network.	MICAI	2002	DBLP DOI BibTeX RDF
41	Kai Ming Ting, Zijian Zheng	Improving the Performance of Boosting for Naive Bayesian Classification.	PAKDD	1999	DBLP DOI BibTeX RDF
41	Younhee Ko, Chengxiang Zhai, Sandra L. Rodriguez-Zas	Inference of Gene Pathways Using Gaussian Mixture Models.	BIBM	2007	DBLP DOI BibTeX RDF	Bayesian networks, mixture model, microarray, Bayesian Information Criterion
39	Nipat Jongsawat, Wichian Premchaiswadi	Bayesian Network Inference with Qualitative Expert Knowledge for Decision Support Systems.	SNPD	2010	DBLP DOI BibTeX RDF	Bayesian network inference, qualitative expert knowledge, probability inequality constraints Bayesian network, Bayesian network inference, qualitative expert knowledge, probability inequ, Bayesian network, decision-support systems, decision-support systems
38	Mark Crowley 0001, Brent Boerlage, David Poole 0001	Adding Local Constraints to Bayesian Networks.	Canadian AI	2007	DBLP DOI BibTeX RDF	chain graphs, complementary priors, Bayesian networks, constraints, graphical models, mixed networks, Bayesian modelling
38	Rodrigo de Salvo Braz, Eyal Amir, Dan Roth	A Survey of First-Order Probabilistic Models.	Innovations in Bayesian Networks	2008	DBLP DOI BibTeX RDF
38	Philippe Leray 0001, Stijn Meganck, Sam Maes, Bernard Manderick	Causal Graphical Models with Latent Variables: Learning and Inference.	Innovations in Bayesian Networks	2008	DBLP DOI BibTeX RDF
38	Murugan Ayyappan, Yew-Kwong Woon, Wee Keong Ng	MICHO: a scalable constraint-based algorithm for learning Bayesian networks.	SAC	2010	DBLP DOI BibTeX RDF	data mining, machine learning, classification, Bayesian networks, large datasets, conditional independence
38	Noga Alon, Yuval Emek, Michal Feldman, Moshe Tennenholtz	Bayesian ignorance.	PODC	2010	DBLP DOI BibTeX RDF	local vs. global view, network cost sharing, bayesian games
38	Zhipeng Xie	Effective Boosting of Naïve Bayesian Classifiers by Local Accuracy Estimation.	PAKDD	2009	DBLP DOI BibTeX RDF	Naïve Bayesian classifier, local accuracy estimation, boosting, AdaBoost
38	Yushi Jing, Vladimir Pavlovic 0001, James M. Rehg	Boosted Bayesian network classifiers.	Mach. Learn.	2008	DBLP DOI BibTeX RDF	Ensemble models, AdaBoost, Structure learning, Bayesian network classifiers
38	Dimitris A. Karras, Basil G. Mertzios, Danielle Graveron-Demilly, Dirk van Ormondt	Improved MRI Mining by Integrating Support Vector Machine Priors in the Bayesian Restoration.	MLDM	2005	DBLP DOI BibTeX RDF	MRI Reconstruction, MRI Mining, Bayesian Restoration, SVM, MLP
38	Claus Möbus, Mark Eilers, Hilke Garbe, Malte Zilinski	Probabilistic and Empirical Grounded Modeling of Agents in (Partial) Cooperative Traffic Scenarios.	HCI (11)	2009	DBLP DOI BibTeX RDF	digital human response models, probabilistic driver models, Bayesian autonomous driver models, learning of human control strategies, human behavior learning and transfer, mixture-of-experts model, visual attention allocation, partial cooperative problem solvers, partial autonomous assistance system, Bayesian assistance system, probabilistic detection of anomalies, traffic agents, between-vehicle-cooperation, within-vehicle-cooperation, hidden Markov models, graphical modeling, distributed cognition, dynamic Bayesian networks, shared space, driver assistance systems
38	Andrea Calì, Thomas Lukasiewicz, Livia Predoiu, Heiner Stuckenschmidt	Rule-Based Approaches for Representing Probabilistic Ontology Mappings.	URSW (LNCS Vol.)	2008	DBLP DOI BibTeX RDF	Representing probabilistic ontology mappings, rule languages, probabilistic description logic programs, Bayesian probabilities, Bayesian description logic programs, Semantic Web, Bayesian networks, uncertainty, description logics, Datalog, inconsistency, disjunctive logic programs, answer set semantics
37	Zijian Zheng	Naive Bayesian Classifier Committees.	ECML	1998	DBLP DOI BibTeX RDF
37	Parag C. Pendharkar, Girish H. Subramanian, James A. Rodger	A Probabilistic Model for Predicting Software Development Effort.	IEEE Trans. Software Eng.	2005	DBLP DOI BibTeX RDF	Bayesian belief networks, probability theory, software effort estimation
34	Harri Lähdesmäki, Ilya Shmulevich	Learning the structure of dynamic Bayesian networks from time series and steady state measurements.	Mach. Learn.	2008	DBLP DOI BibTeX RDF	Trans-dimensional Markov chain Monte Carlo, Bayesian inference, Markov chain Monte Carlo, Dynamic Bayesian networks, Steady state analysis
34	Fidel Aznar Gregori, Mar Pujol, Ramón Rizo	Autonomous Artificial Intelligent Agents for Bayesian Robotics.	DCAI	2008	DBLP DOI BibTeX RDF	Bayesian Agents, Autonomous Intelligent Agents, Bayesian Programming
34	Martin Neil, Manesh Tailor, David Marquez	Inference in hybrid Bayesian networks using dynamic discretization.	Stat. Comput.	2007	DBLP DOI BibTeX RDF	Bayesian software, Dynamic discretization, Bayesian networks, Expert systems, Statistical inference, Reasoning under uncertainty, Propagation algorithms
34	Junichiro Hirayama, Masashi Nakatomi, Takashi Takenouchi, Shin Ishii	Bayesian Collaborative Predictors for General User Modeling Tasks.	ICONIP (1)	2007	DBLP DOI BibTeX RDF	collaborative method, Bayesian network, User modeling, Bayesian inference
34	Fidel Aznar Gregori, Mireia Sempere, Maria Del Mar Pujol López, Ramón Rizo	A Cognitive Model for Autonomous Agents Based on Bayesian Programming.	BVAI	2005	DBLP DOI BibTeX RDF	Bayesian Units, Cognitive Models, Autonomous Agents, Bayesian Programming
34	Hongwei Zhang, Fengzhan Tian, Yuchang Lu	A General Algorithm for Approximate Inference in Multiply Sectioned Bayesian Networks.	IDA	2001	DBLP DOI BibTeX RDF	Multiply sectioned Bayesian network, Bayesian inference
34	Hadar Ziv, Debra J. Richardson	Constructing Bayesian-network models of software testing and maintenance uncertainties.	ICSM	1997	DBLP DOI BibTeX RDF	Bayesian-network models, software maintenance uncertainties, software testing uncertainties, software developer confidence, software component updating, software uncertainty modelling, Beckman Instruments, software evolution, program testing, regression testing, Bayesian belief networks, Java program, software artifacts, change impact
34	Anand S. Bedekar, Robert M. Haralick	A Bayesian method for triangulation and its application to finding corresponding points.	ICIP	1995	DBLP DOI BibTeX RDF	corresponding points, multiple perspective projection images, 3D points estimation, hypothesis verification problem, 3D point coordinates, triangulation problem, Bayesian estimation problem, observed image points, camera parameters, 3D point distance, misdetection rate, image processing, experiments, statistical analysis, maximum likelihood estimation, Bayes methods, statistical test, Bayesian method, MAP estimation, maximum a posteriori estimation, false alarm rate, projection images
34	Jae-Won Lee, Han-joon Kim, Sang-goo Lee	Applying taxonomic knowledge to Bayesian belief network for personalized search.	SAC	2010	DBLP DOI BibTeX RDF	conceptual matching, Bayesian belief network, personalized search
34	Paolo Zuliani, André Platzer, Edmund M. Clarke	Bayesian statistical model checking with application to Simulink/Stateflow verification.	HSCC	2010	DBLP DOI BibTeX RDF	bayesian statis tics, statistical model checking, hybrid systems, probabilistic model checking, stochastic systems
34	Jiejun Huang, Yanbin Yuan, Wei Cui 0003, Yunjun Zhan	Development of a Data Mining Application for Agriculture Based on Bayesian Networks.	CCTA	2007	DBLP DOI BibTeX RDF	data mining, model, Bayesian network, agriculture
34	Elder Rizzon Santos, Moser Silva Fagundes, Rosa Maria Vicari	Interoperability for Bayesian Agents in the Semantic Web.	PROMAS	2007	DBLP DOI BibTeX RDF	Ontology, Semantic Web, Interoperability, Bayesian Networks, Agent Architecture
34	Zhan Wang, Yoshiaki Hori, Kouichi Sakurai	Application and Evaluation of Bayesian Filter for Chinese Spam.	Inscrypt	2006	DBLP DOI BibTeX RDF	Chinese email, spam, Bayesian filtering
34	Vitaly Schetinin, Valentina V. Zharkova, Sergei I. Zharkov	Bayesian Decision Tree Averaging for the Probabilistic Interpretation of Solar Flare Occurrences.	KES (3)	2006	DBLP DOI BibTeX RDF	Bayesian averaging, solar flare, Machine learning, decision tree, uncertainty, Markov Chain Monte Carlo
34	Xu Huang 0001, Allan C. Madoc, Dharmendra Sharma 0001	Image Noise Removal in Nakagami Fading Channels via Bayesian Estimator.	DELTA	2006	DBLP DOI BibTeX RDF	image noise removal, Nakagami m- fading channels, wavelet, wireless communications, digital image, Bayesian estimator
34	Rong Chen, Krishnamoorthy Sivakumar, Hillol Kargupta	Collective Mining of Bayesian Networks from Distributed Heterogeneous Data.	Knowl. Inf. Syst.	2004	DBLP DOI BibTeX RDF	Collective data mining, Bayesian network, Distributed data mining, Heterogeneous data, Web log mining
33	Jesús Cerquides, Ramón López de Mántaras	TAN Classifiers Based on Decomposable Distributions.	Mach. Learn.	2005	DBLP DOI BibTeX RDF	tree augmented naive Bayes, decomposable distributions, Bayesian networks, naive Bayes, Bayesian network classifiers, Bayesian model averaging
33	Colin Chen, Keming Yu	Automatic Bayesian quantile regression curve fitting.	Stat. Comput.	2009	DBLP DOI BibTeX RDF	Asymmetric Laplace distribution, Quantile regression, Reversible jump Markov chain Monte Carlo, Splines, Piecewise polynomials
33	Koray Kayabol, Ercan E. Kuruoglu, Bülent Sankur	Bayesian Separation of Images Modeled With MRFs Using MCMC.	IEEE Trans. Image Process.	2009	DBLP DOI BibTeX RDF
33	Kristian Kersting, Luc De Raedt	Basic Principles of Learning Bayesian Logic Programs.	Probabilistic Inductive Logic Programming	2008	DBLP DOI BibTeX RDF
33	Jangsik Cho, Shohei Kato, Hidenori Itoh	Bayesian-Based Inference of Dialogist's Emotion for Sensitivity Robots.	RO-MAN	2007	DBLP DOI BibTeX RDF
33	Kazuyuki Numata, Seiya Imoto, Satoru Miyano	A Structure Learning Algorithm for Inference of Gene Networks from Microarray Gene Expression Data Using Bayesian Networks.	BIBE	2007	DBLP DOI BibTeX RDF
33	Kazuho Watanabe, Motoki Shiga, Sumio Watanabe	Upper Bounds for Variational Stochastic Complexities of Bayesian Networks.	IDEAL	2006	DBLP DOI BibTeX RDF
33	Shohei Kato, Yoshiki Sugino, Hidenori Itoh	A Bayesian Approach to Emotion Detection in Dialogist's Voice for Human Robot Interaction.	KES (2)	2006	DBLP DOI BibTeX RDF
33	Alexey Tsymbal, Seppo Puuronen, David W. Patterson	Feature Selection for Ensembles of Simple Bayesian Classifiers.	ISMIS	2002	DBLP DOI BibTeX RDF
32	Evelina Lamma, Fabrizio Riguzzi, Andrea Stambazzi, Sergio Storari	Improving the SLA Algorithm Using Association Rules.	AI*IA	2003	DBLP DOI BibTeX RDF
30	Kyu Baek Hwang, Byoung-Tak Zhang	Bayesian model averaging of Bayesian network classifiers over multiple node-orders: application to sparse datasets.	IEEE Trans. Syst. Man Cybern. Part B	2005	DBLP DOI BibTeX RDF
30	Ahmed Hussein, Eugene Santos Jr.	Exploring Case-Based Bayesian Networks and Bayesian Multi-nets for Classification.	Canadian AI	2004	DBLP DOI BibTeX RDF
30	Ayad R. Abbas, Juan Liu 0007	Supporting E-Learning System with Modified Bayesian Rough Set Model.	ISNN (2)	2009	DBLP DOI BibTeX RDF	Bayesian Confirmation Measures, Bayesian Rough Set model, E-learning, Rough Set, Variable Precision Rough Set model
30	T. J. Jia	Construction of Learning Algorithm based on SGA Bayesian Network.	ISECS	2008	DBLP DOI BibTeX RDF	Self-organizing Genetic Algorithm (SGA), Bayesian learning based on Knowledge base, network safety applies, Bayesian network
30	Giorgio Corani, Marco Zaffalon	Credal Model Averaging: An Extension of Bayesian Model Averaging to Imprecise Probabilities.	ECML/PKDD (1)	2008	DBLP DOI BibTeX RDF	Credal model averaging, naive Bayesian networks, classification, naive Bayes, imprecise probabilities, Bayesian model averaging
30	Reinhard Viertl	Fuzzy Bayesian Inference.	SMPS	2008	DBLP DOI BibTeX RDF	Bayes’ theorem, Fuzzy Bayesian inference, Fuzzy information, Fuzzy intervals, Fuzzy probability distributions, Fuzzy utility, Non-precise numbers, Bayesian inference, Decision analysis, Fuzzy data
30	Feng-Jen Yang	Eliciting an overlooked aspect of Bayesian reasoning.	ACM SIGCSE Bull.	2007	DBLP DOI BibTeX RDF	Bayesian assumption, uncertainty management, Bayesian reasoning
30	Ganesh J. Pai, Joanne Bechta Dugan	Empirical Analysis of Software Fault Content and Fault Proneness Using Bayesian Methods.	IEEE Trans. Software Eng.	2007	DBLP DOI BibTeX RDF	object-oriented, metrics, Bayesian networks, software quality, regression, defects, Bayesian analysis, fault proneness
30	Sebastian D. C. de O. Galvão, Estevam R. Hruschka Jr.	A Markov Blanket Based Strategy to Optimize the Induction of Bayesian Classifiers When Using Conditional Independence Learning Algorithms.	DaWaK	2007	DBLP DOI BibTeX RDF	Bayesian Networks, Bayesian Classifiers, Conditional Independence, Markov Blanket
30	Fidel Aznar Gregori, Mireia Sempere, Maria Del Mar Pujol López, Ramón Rizo	Bayesian Emotions: Developing an Interface for Robot/Human Communication.	AI*IA	2005	DBLP DOI BibTeX RDF	Bayesian Units, Autonomous Agents, Human Robot Interface, Bayesian Programming
30	X. Fu, X. Gao, D. Chen	A Bayesian Optimization Algorithm for UAV Path Planning.	Intelligent Information Processing	2004	DBLP DOI BibTeX RDF	genetic algorithm, Bayesian network, path planning, UAV, Bayesian optimization algorithm
30	Stan Z. Li, Kap Luk Chan, Han Wang 0001	Bayesian image restoration and segmentation by constrained optimizatio.	CVPR	1996	DBLP DOI BibTeX RDF	Bayesian image restoration, Lagrange-Hopfield method, Markov random field based Bayesian image estimation problems, augmented Lagrangian multiplier technique, neural-like analog implementation, image segmentation, image segmentation, optimisation, Markov processes, image restoration, constrained optimization, Bayes methods, Hopfield network, Hopfield neural nets
30	Zhibin Lei, Daniel Keren, David B. Cooper	Computationally fast Bayesian recognition of complex objects based on mutual algebraic invariants.	ICIP	1995	DBLP DOI BibTeX RDF	computationally fast Bayesian recognition, complex objects recognition, 2D curve, 3D surface objects, Euclidean invariants, polynomial coefficients, Bayesian object recognition, robust recognition, mutual invariants recognizers, self invariants, object geometry, low computational cost, partially occluded articulated objects, joint geometry, self geometry, mutual algebraic invariants, database, computational geometry, object recognition, noise, polynomials, polynomial, vector, position, Bayes methods, patches, affine invariants
30	Hiroshi Saito	Adaptive CACs using Bayesian performance estimation.	ICCCN	1995	DBLP DOI BibTeX RDF	Bayesian performance estimation, adaptive CAC, Bayesian regression analysis, log-transform, maximum queue length, measurement period, maximum queue size, monitored performance data, simulation, asynchronous transfer mode, asynchronous transfer mode, convergence, queueing theory, ATM networks, variance, oscillation, connection admission control, telecommunication system, cell loss ratio
30	David Allingham, R. A. R. King, Kerrie L. Mengersen	Bayesian estimation of quantile distributions.	Stat. Comput.	2009	DBLP DOI BibTeX RDF	Approximate Bayesian computation, Quantile distribution, Response time data, Posterior distribution
30	Tzu-Tsung Wong	Alternative prior assumptions for improving the performance of naïve Bayesian classifiers.	Data Min. Knowl. Discov.	2009	DBLP DOI BibTeX RDF	Conjugate, Dirichlet assumption, Generalized Dirichlet distribution, Liouville distribution, Naïve Bayesian classifier
30	Linda C. van der Gaag, Silja Renooij, Ad Feelders, Arend de Groote, Marinus J. C. Eijkemans, Frank J. Broekmans, Bart C. J. M. Fauser	Aligning Bayesian Network Classifiers with Medical Contexts.	MLDM	2009	DBLP DOI BibTeX RDF	learning Bayesian network classifiers, medical alignment, logistic regression
30		Using Bayesian Network and AIS to Perform Feature Subset Selection.	ICIC (2)	2009	DBLP DOI BibTeX RDF	Feature selection, Bayesian network, Artificial immune system
30	Narges Bani Asadi, Teresa H. Meng, Wing Hung Wong	Reconfigurable computing for learning Bayesian networks.	FPGA	2008	DBLP DOI BibTeX RDF	Bayesian networks, reconfigurable computing, Markov chain Monte Carlo
30	Sargur N. Srihari, Kamal Kuzhinjedathu, Harish Srinivasan, Chen Huang 0002, Danjun Pu	Signature Verification Using a Bayesian Approach.	IWCF	2008	DBLP DOI BibTeX RDF	Signature verification, Bayesian approach
30	Li Pan, Hong Zheng, Li Li	A Hybrid Feature Selection Approach Based on the Bayesian Network Classifier and Rough Sets.	RSKT	2008	DBLP DOI BibTeX RDF	Naive Bayesian Network Classifier, Feature Selection, Rough Sets
30	Luis M. San-José-Revuelta	Hypotheses Control-based Strategies for the Development of Near-optimum Bayesian Detectors for CDMA Systems.	J. VLSI Signal Process.	2007	DBLP DOI BibTeX RDF	Bayesian approach, Multiple-Access Interference, CDMA systems
30	Sherif Akoush, Ahmed Sameh	Mobile user movement prediction using bayesian learning for neural networks.	IWCMC	2007	DBLP DOI BibTeX RDF	neural networks, Bayesian network, Markov chain, Monte Carlo methods
30	Ratiba Kabli, Frank Herrmann, John A. W. McCall	A chain-model genetic algorithm for Bayesian network structure learning.	GECCO	2007	DBLP DOI BibTeX RDF	genetic algorithms, Bayesian networks, greedy search
30	Emilia Mendes	The Use of a Bayesian Network for Web Effort Estimation.	ICWE	2007	DBLP DOI BibTeX RDF	Web effort estimation, Effort accuracy, Web cost estimation, Bayesian Networks
30	Kui Yu, Hao Wang 0008, Xindong Wu 0001	A Parallel Algorithm for Learning Bayesian Networks.	PAKDD	2007	DBLP DOI BibTeX RDF	structural EM, MPI library, parallel EM, parallel processing, Bayesian networks
30	Khwunta Kirimasthong, Aompilai Manorat, Jeerayut Chaijaruwanich, Sukon Prasitwattanaseree, Chinae Thammarongtham	Inference of Gene Regulatory Network by Bayesian Network Using Metropolis-Hastings Algorithm.	ADMA	2007	DBLP DOI BibTeX RDF	Transcriptional expression analysis, Bayesian network, Gene regulatory network, Metropolis-Hastings algorithm
30	Elder Rizzon Santos, Moser Silva Fagundes, Rosa Maria Vicari	An ontology-based approach to interoperability for Bayesian agents.	AAMAS	2007	DBLP DOI BibTeX RDF	ontology, semantic web, interoperability, Bayesian networks, agent architecture
30	Ioannis Tsamardinos, Laura E. Brown, Constantin F. Aliferis	The max-min hill-climbing Bayesian network structure learning algorithm.	Mach. Learn.	2006	DBLP DOI BibTeX RDF	Bayesian networks, Graphical models, Structure learning
30	Jukka Corander, Pekka Marttinen	Bayesian Model Learning Based on Predictive Entropy.	J. Log. Lang. Inf.	2006	DBLP DOI BibTeX RDF	information theoretic criteria, objective model learning, entropy, Bayesian inference
30	Matthew Williams 0001, Jon Williamson	Combining Argumentation and Bayesian Nets for Breast Cancer Prognosis.	J. Log. Lang. Inf.	2006	DBLP DOI BibTeX RDF	bayesian networks, logic, argumentation, bayes theorem
30	Yu Zhang, Zhidong Deng, Hongshan Jiang, Peifa Jia	Gene Regulatory Network Construction Using Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM).	RSKT	2006	DBLP DOI BibTeX RDF	structural expectation maximization, microarray, dynamic Bayesian network, gene regulatory network
30	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
30	Dominik Slezak	The Rough Bayesian Model for Distributed Decision Systems.	Rough Sets and Current Trends in Computing	2004	DBLP DOI BibTeX RDF	Inverse Probabilities, Rough Sets, Decision Systems, Bayes Factor, Bayesian Reasoning
30	Jozef Gemela	Learning Bayesian networks using various datasources and applications to financial analysis.	Soft Comput.	2003	DBLP DOI BibTeX RDF	Fundamental financial analysis, Neural networks, Learning, Bayesian networks, Application, Engineering
30	Ratthachat Chatpatanasiri, Boonserm Kijsirikul	Learning First-Order Bayesian Networks.	AI	2003	DBLP DOI BibTeX RDF	First-Order Bayesian Networks, Overfitting Problem, Propositionalisation, Feature Extraction, Inductive Logic Programming