Spatial and temporal characterization of the rich fraction of plastid DNA present in the nuclear genome of Moringa oleifera reveals unanticipated complexity in NUPTs´ formation |
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Bayesian Network analysis of software logs for data‐driven software maintenance |
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An Empirical Analysis of the Impact of Continuous Assessment on the Final Exam Mark |
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Comments on: Hybrid semiparametric Bayesian networks |
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A Soft Clustering Approach to Detect Socio-Ecological Landscape Boundaries Using Bayesian Networks |
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Probabilistic Models with Deep Neural Networks |
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MoTBFs: An R Package for Learning Hybrid Bayesian Networks Using Mixtures of Truncated Basis Functions |
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InferPy: Probabilistic modeling with deep neural networks made easy |
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Statistical Parameters Based on Fuzzy Measures |
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Variational Inference over Nonstationary Data Streams for Exponential Family Models |
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MoTBFs: An R Package for Learning Hybrid Bayesian Networks Using Mixtures of Truncated Basis Functions |
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Analyzing uncertainty in complex socio-ecological networks |
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Construction of Fuzzy Measures over Product Spaces |
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Comparing two multinomial samples using hierarchical Bayesian models |
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Analyzing concept drift: A case study in the financial sector |
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Analyzing Uncertainty in Complex Socio-Ecological Networks |
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Las matemáticas que rigen nuestras cuentas personales |
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Prediction of a complex system with few data: Evaluation of the effect of model structure and amount of data with dynamic bayesian network models |
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A survey on Bayesian network structure learning from data |
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InferPy: Probabilistic modeling with Tensorflow made easy |
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AMIDST: A Java toolbox for scalable probabilistic machine learning |
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A review of inference algorithms for hybrid Bayesian networks |
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Probabilistic modeling of the relationship between socioeconomy and ecosystem services in cultural landscapes |
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Scalable importance sampling estimation of Gaussian mixture posteriors in Bayesian networks |
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A parallel algorithm for Bayesian network structure learning from large data sets |
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Scaling up Bayesian variational inference using distributed computing clusters |
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MAP inference in dynamic hybrid Bayesian networks |
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Continuous Bayesian networks for probabilistic environmental risk mapping |
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Parameter learning in hybrid Bayesian networks using prior knowledge |
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Modeling zero-inflated explanatory variables in hybrid Bayesian network classifiers for species occurrence prediction |
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Continuous Bayesian networks vs. other methods for regression in environmental modelling |
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Estadística y Big Data |
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Continuous Bayesian networks for the estimation of species richness |
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Accurate lead time demand modeling and optimal inventory policies in continuous review systems |
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Practical aspects of solving hybrid Bayesian networks containing deterministic conditionals |
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Recent advances in probabilistic graphical models |
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Learning Mixtures of Truncated Basis Functions from Data |
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Data clustering using hidden variables in hybrid Bayesian networks |
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A tool based on Bayesian networks for supporting geneticists in plant improvement by controlled pollination |
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Inference in Bayesian networks with recursive probability trees: Data structure definition and operations |
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Inventory management with log-normal demand per unit time |
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New strategies for finding multiplicative decompositions of probability trees |
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Answering queries in hybrid Bayesian networks using importance sampling |
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Moments and associated measures of copulas with fractal support |
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Fast factorisation of probabilistic potentials and its application to approximate inference in bayesian networks |
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Learning recursive probability trees from probabilistic potentials |
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Modelling and inference with conditional Gaussian probabilistic decision Graphs |
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A system for relevance analysis of performance indicators in higher education using Bayesian networks |
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Bayesian networks in environmental modelling |
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Learning bayesian networks for regression from incomplete databases |
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Multi-Objective Evolutionary Algorithms Used in Greenhouse Planning for Recycling Biomass into Energy |
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Structural-EM for learning PDG models from incomplete data |
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Parameter Estimation and Model Selection for Mixtures of Truncated Exponentials |
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Maximum Likelihood Learning of Conditional MTE Distributions |
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Supervised classification using probabilistic decision graphs |
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Inference in hybrid Bayesian networks |
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BayesChess: A computer chess program based on Bayesian networks |
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Approximate probability propagation with mixtures of truncated exponentials |
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Bayesian network models with discrete and continuous variables |
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Selective naive bayes for regression based on mixtures of truncated exponentials |
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Preface |
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Learning hybrid Bayesian networks using mixtures of truncated exponentials |
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Special issue on PGM'04: Second European workshop on probabilistic graphical models 2004 |
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Estimating mixtures of truncated exponentials in hybrid bayesian networks |
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Dynamic importance sampling in Bayesian networks based on probability trees |
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New trends in probabilistic graphical models |
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Novel strategies to approximate probability trees in Penniless propagation |
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Probabilistic graphical models |
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Lazy Evaluation in Penniless Propagation over Join Trees |
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Importance sampling in Bayesian networks using probability trees |
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Penniless propagation in join trees |
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OPERATIONAL APPROACH TO GENERAL FUZZY MEASURES |
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A Monte Carlo algorithm for probabilistic propagation in belief networks based on importance sampling and stratified simulation techniques |
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Numerical experimentation and comparison of fuzzy integrals |
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