Groundwater quality assessment using data clustering based on hybrid Bayesian networks
暂无分享,去创建一个
[1] José A. Gámez,et al. Data clustering using hidden variables in hybrid Bayesian networks , 2014, Progress in Artificial Intelligence.
[2] A. Favre,et al. Further developments of a transient Poisson-cluster model for rainfall , 2013, Stochastic Environmental Research and Risk Assessment.
[3] Hui Wang,et al. Characterization of groundwater contaminant source using Bayesian method , 2013, Stochastic Environmental Research and Risk Assessment.
[4] D. Jhajharia,et al. Trend analysis of groundwater using non-parametric methods (case study: Ardabil plain) , 2013, Stochastic Environmental Research and Risk Assessment.
[5] Mohammad Ghorbani. Testing the weak stationarity of a spatio-temporal point process , 2012, Stochastic Environmental Research and Risk Assessment.
[6] Rafael Rumí,et al. Answering queries in hybrid Bayesian networks using importance sampling , 2012, Decis. Support Syst..
[7] Rafael Rumí,et al. Mixtures of truncated basis functions , 2012, Int. J. Approx. Reason..
[8] Kevin Fong-Rey Liu,et al. Applying Bayesian belief networks to health risk assessment , 2012, Stochastic Environmental Research and Risk Assessment.
[9] Rafael Rumí,et al. Bayesian networks in environmental modelling , 2011, Environ. Model. Softw..
[10] L. Altaş,et al. Determination of arsenic levels in the water resources of Aksaray Province, Turkey. , 2011, Journal of environmental management.
[11] John Bromley,et al. Aquifers Management through Evolutionary Bayesian Networks: The Altiplano Case Study (SE Spain) , 2011 .
[12] Prakash P. Shenoy,et al. Inference in hybrid Bayesian networks using mixtures of polynomials , 2011, Int. J. Approx. Reason..
[13] Hwa-Lung Yu,et al. Assessment of Water Quality in a Subtropical Alpine Lake Using Multivariate Statistical Techniques and Geostatistical Mapping: A Case Study , 2011, International journal of environmental research and public health.
[14] J. C. García-Díaz,et al. Monitoring and forecasting nitrate concentration in the groundwater using statistical process control and time series analysis: a case study , 2011 .
[15] Pedro Larrañaga,et al. Probabilistic graphical models in artificial intelligence , 2011, Appl. Soft Comput..
[16] F. Chang,et al. Assessing the characteristics of groundwater quality of arsenic contaminated aquifers in the blackfoot disease endemic area. , 2011, Journal of hazardous materials.
[17] John Bromley,et al. The Use of Participatory Object-Oriented Bayesian Networks and Agro-Economic Models for Groundwater Management in Spain , 2011 .
[18] Rafael Rumí,et al. Hybrid Bayesian network classifiers: Application to species distribution models , 2010, Environ. Model. Softw..
[19] François Bousquet,et al. Modelling with stakeholders , 2010, Environ. Model. Softw..
[20] Hans Jørgen Henriksen,et al. Comparative reflections on the use of modelling tools in conflictive water management settings: The Mancha Occidental aquifer, Spain , 2010, Environ. Model. Softw..
[21] John Bromley,et al. Research, part of a Special Feature on Implementing Participatory Water Management: Recent Advances in Theory, Practice and Evaluation Evaluation of Bayesian Networks in Participatory Water Resources Management, Upper Guadiana Basin, Spain , 2010 .
[22] Rafael Rumí,et al. Parameter estimation and model selection for mixtures of truncated exponentials , 2010, Int. J. Approx. Reason..
[23] John Bromley,et al. Integrated water resources management of overexploited hydrogeological systems using Object-Oriented Bayesian Networks , 2010, Environ. Model. Softw..
[24] A. Papaioannou,et al. Assessment and Modelling of Groundwater Quality Data by Environmetric Methods in the Context of Public Health , 2010 .
[25] Antonio Salmerón,et al. Learning Bayesian Networks for Regression from Incomplete Databases , 2010, Int. J. Uncertain. Fuzziness Knowl. Based Syst..
[26] Yilan Liao,et al. Risk assessment of human neural tube defects using a Bayesian belief network , 2010 .
[27] Gunnar Lischeid,et al. Non-linear visualization and analysis of large water quality data sets: a model-free basis for efficient monitoring and risk assessment , 2009 .
[28] José Luis Molina,et al. Aquifers Overexploitation in SE Spain: A Proposal for the Integrated Analysis of Water Management , 2009 .
[29] Heidi Christiansen Barlebo,et al. Reflections on the use of Bayesian belief networks for adaptive management. , 2008, Journal of environmental management.
[30] Carmelo Rodríguez,et al. Selective Naive Bayes for Regression Based on Mixtures of Truncated Exponentials , 2007, Int. J. Uncertain. Fuzziness Knowl. Based Syst..
[31] Peter A. Vanrolleghem,et al. Uncertainty in the environmental modelling process - A framework and guidance , 2007, Environ. Model. Softw..
[32] Finn Verner Jensen,et al. Public participation modelling using Bayesian networks in management of groundwater contamination , 2007, Environ. Model. Softw..
[33] Alfonso Dominguez,et al. Bayesian networks in planning a large aquifer in Eastern Mancha, Spain , 2007, Environ. Model. Softw..
[34] Rafael Rumí,et al. Approximate probability propagation with mixtures of truncated exponentials , 2007, Int. J. Approx. Reason..
[35] Laura Uusitalo,et al. Advantages and challenges of Bayesian networks in environmental modelling , 2007 .
[36] Rafael Rumí,et al. Bayesian Network Models with Discrete and Continuous Variables , 2007 .
[37] B. Marcot,et al. Using Bayesian belief networks in adaptive management , 2006 .
[38] Serafín Moral,et al. Estimating mixtures of truncated exponentials in hybrid bayesian networks , 2006 .
[39] Prakash P. Shenoy. Inference in Hybrid Bayesian Networks Using Mixtures of Gaussians , 2006, UAI.
[40] Rafael Rumí,et al. Learning hybrid Bayesian networks using mixtures of truncated exponentials , 2006, Int. J. Approx. Reason..
[41] Prakash P. Shenoy,et al. Inference in hybrid Bayesian networks with mixtures of truncated exponentials , 2006, Int. J. Approx. Reason..
[42] José A. Gámez,et al. Unsupervised naive Bayes for data clustering with mixtures of truncated exponentials , 2006, Probabilistic Graphical Models.
[43] J. F. Ortega,et al. Integrated water resources management of the Hydrogeological Unit “Eastern Mancha” using Bayesian Belief Networks , 2005 .
[44] J. Bromley,et al. The use of Hugin® to develop Bayesian networks as an aid to integrated water resource planning , 2005, Environ. Model. Softw..
[45] Nir Friedman,et al. Bayesian Network Classifiers , 1997, Machine Learning.
[46] G. Cooper,et al. A Bayesian Method for the Induction of Probabilistic Networks from Data , 2004, Machine Learning.
[47] Serafín Moral,et al. Approximating Conditional MTE Distributions by Means of Mixed Trees , 2003, ECSQARU.
[48] Denver Dash,et al. Evaluation of Bayesian networks used for diagnostics , 2003, 2003 IEEE Aerospace Conference Proceedings (Cat. No.03TH8652).
[49] Serafín Moral,et al. Estimating Mixtures of Truncated Exponentials from Data , 2002, Probabilistic Graphical Models.
[50] Serafín Moral,et al. Mixtures of Truncated Exponentials in Hybrid Bayesian Networks , 2001, ECSQARU.
[51] Steffen L. Lauritzen,et al. Stable local computation with conditional Gaussian distributions , 2001, Stat. Comput..
[52] Finn V. Jensen,et al. Bayesian Networks and Decision Graphs , 2001, Statistics for Engineering and Information Science.
[53] Anil K. Jain,et al. Data clustering: a review , 1999, CSUR.
[54] L. Sánchez. Hidroquímica e intrusión marina en el campo de dalias (Almería) , 1998 .
[55] P. Spirtes,et al. Causation, prediction, and search , 1993 .
[56] S. Lauritzen. Propagation of Probabilities, Means, and Variances in Mixed Graphical Association Models , 1992 .
[57] L. Molina,et al. Quantity and Quality of Groundwater in the Campo De Dalias (Almeria, Se Spain) , 1991 .
[58] Steffen L. Lauritzen,et al. Bayesian updating in causal probabilistic networks by local computations , 1990 .
[59] Prakash P. Shenoy,et al. Axioms for probability and belief-function proagation , 1990, UAI.
[60] Judea Pearl,et al. Probabilistic reasoning in intelligent systems , 1988 .
[61] C. N. Morris,et al. The calculation of posterior distributions by data augmentation , 1987 .
[62] Michael R. Anderberg,et al. Cluster Analysis for Applications , 1973 .
[63] David G. Stork,et al. Pattern Classification , 1973 .