Probabilistic Modelling with Bayesian Networks
暂无分享,去创建一个
[1] S. Wright. The Method of Path Coefficients , 1934 .
[2] Keiji Kanazawa,et al. A model for reasoning about persistence and causation , 1989 .
[3] Fabio Stella,et al. A continuous time Bayesian network model for cardiogenic heart failure , 2012 .
[4] Robert G. Cowell,et al. Local Propagation in Conditional Gaussian Bayesian Networks , 2005, J. Mach. Learn. Res..
[5] A. Hyman,et al. Genome-scale RNAi profiling of cell division in human tissue culture cells , 2007, Nature Cell Biology.
[6] Klaus Schughart,et al. Dynamic gene network reconstruction from gene expression data in mice after influenza A (H1N1) infection , 2011, Journal of Clinical Bioinformatics.
[7] David J. Spiegelhalter,et al. Local computations with probabilities on graphical structures and their application to expert systems , 1990 .
[8] Max Henrion,et al. Propagating uncertainty in bayesian networks by probabilistic logic sampling , 1986, UAI.
[9] Kevin Murphy,et al. Bayes net toolbox for Matlab , 1999 .
[10] S Andreassen,et al. The EMG diagnosis--an interpretation based on partial information. , 1999, Medical engineering & physics.
[11] Riccardo Bellazzi,et al. Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks , 2007, BMC Bioinformatics.
[12] Philippe Leray,et al. Probabilistic graphical models for genetic association studies , 2012, Briefings Bioinform..
[13] Fabio Stella,et al. Continuous time Bayesian network classifiers , 2012, J. Biomed. Informatics.
[14] Yu Fan,et al. Learning Continuous-Time Social Network Dynamics , 2009, UAI.
[15] Rainer Spang,et al. Inferring cellular networks – a review , 2007, BMC Bioinformatics.
[16] Daphne Koller,et al. Expectation Propagation for Continuous Time Bayesian Networks , 2005, UAI.
[17] Angelo Nuzzo,et al. Phenotype forecasting with SNPs data through gene-based Bayesian networks , 2009, BMC Bioinformatics.
[18] S. Andreassen,et al. Dynamic updating in DIAS-NIDDM and DIAS causal probabilistic networks , 1999, IEEE Transactions on Biomedical Engineering.
[19] Adrian F. M. Smith,et al. Sampling-Based Approaches to Calculating Marginal Densities , 1990 .
[20] Marek J. Druzdzel,et al. SMILE: Structural Modeling, Inference, and Learning Engine and GeNIE: A Development Environment for Graphical Decision-Theoretic Models , 1999, AAAI/IAAI.
[21] Paola Sebastiani,et al. Genetic dissection and prognostic modeling of overt stroke in sickle cell anemia , 2005, Nature Genetics.
[22] Anders L. Madsen,et al. The Hugin Tool for Learning Bayesian Networks , 2003, ECSQARU.
[23] Ole K. Hejlesen,et al. DiasNet - a diabetes advisory system for communication and education via the internet , 2001, Int. J. Medical Informatics.
[24] Claudio Cobelli,et al. Bag of Naïve Bayes: biomarker selection and classification from genome-wide SNP data , 2012, BMC Bioinformatics.
[25] E. Carson,et al. A probabilistic approach to glucose prediction and insulin dose adjustment: description of metabolic model and pilot evaluation study. , 1994, Computer methods and programs in biomedicine.
[26] David Maxwell Chickering,et al. Learning Bayesian Networks: The Combination of Knowledge and Statistical Data , 1994, Machine Learning.
[27] R A Miller,et al. A History of the INTERNIST-1 and Quick Medical Reference (QMR) Computer-Assisted Diagnosis Projects, with Lessons Learned , 2010, Yearbook of Medical Informatics.
[28] Giovanni Sparacino,et al. Bayesian Identification of a Population Compartmental Model of C-Peptide Kinetics , 2000, Annals of Biomedical Engineering.
[29] Kuo-Chu Chang,et al. Weighing and Integrating Evidence for Stochastic Simulation in Bayesian Networks , 2013, UAI.
[30] Michael I. Jordan,et al. Variational Probabilistic Inference and the QMR-DT Network , 2011, J. Artif. Intell. Res..
[31] Jing Xu,et al. Importance Sampling for Continuous Time Bayesian Networks , 2010, J. Mach. Learn. Res..
[32] C. Ball,et al. Identification of genes periodically expressed in the human cell cycle and their expression in tumors. , 2002, Molecular biology of the cell.
[33] Yu Zhang,et al. A novel bayesian graphical model for genome‐wide multi‐SNP association mapping , 2012, Genetic epidemiology.
[34] S Andreassen,et al. Evaluation of the diagnostic performance of the expert EMG assistant MUNIN. , 1996, Electroencephalography and clinical neurophysiology.
[35] Gregory F. Cooper,et al. A Bayesian method for the induction of probabilistic networks from data , 1992, Machine Learning.
[36] Ian H. Witten,et al. The WEKA data mining software: an update , 2009, SKDD.
[37] Michael Luby,et al. Approximating Probabilistic Inference in Bayesian Belief Networks is NP-Hard , 1993, Artif. Intell..
[38] Adnan Darwiche,et al. Recursive conditioning , 2001, Artif. Intell..
[39] S. Miyano,et al. Finding Optimal Bayesian Network Given a Super-Structure , 2008 .
[40] Nir Friedman,et al. Inferring Cellular Networks Using Probabilistic Graphical Models , 2004, Science.
[41] Silvana Badaloni,et al. Bayesian Network structure learning: Hybridizing complete search with independence tests , 2015, AI Commun..
[42] Jung-Fu Cheng,et al. Turbo Decoding as an Instance of Pearl's "Belief Propagation" Algorithm , 1998, IEEE J. Sel. Areas Commun..
[43] Eugene Charniak,et al. Bayesian Networks without Tears , 1991, AI Mag..
[44] Qiang Ji,et al. Efficient Structure Learning of Bayesian Networks using Constraints , 2011, J. Mach. Learn. Res..
[45] Riccardo Bellazzi,et al. Inferring cell cycle feedback regulation from gene expression data , 2011, J. Biomed. Informatics.
[46] Giuseppe De Nicolao,et al. Bayesian Function Learning Using MCMC Methods , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[47] Mark E. Borsuk,et al. Using Bayesian networks to discover relations between genes, environment, and disease , 2013, BioData Mining.
[48] S. Andreassen,et al. Diagnostic function of the microhuman prototype of the expert system--MUNIN. , 1992, Electroencephalography and clinical neurophysiology.
[49] David Kerr,et al. Impaired absorption and omission of insulin: a novel method of detection using the diabetes advisory system computer model. , 2001, Diabetes technology & therapeutics.
[50] Nir Friedman,et al. Gibbs Sampling in Factorized Continuous-Time Markov Processes , 2008, UAI.
[51] S. Andreassen,et al. Use of the DIAS model to predict unrecognised hypoglycaemia in patients with insulin-dependent diabetes. , 1996, Computer methods and programs in biomedicine.
[52] Steffen L. Lauritzen,et al. Bayesian updating in causal probabilistic networks by local computations , 1990 .
[53] S. Andreassen,et al. DIAS-NIDDM--a model-based decision support system for insulin dose adjustment in insulin-treated subjects with NIDDM. , 1998, Computer methods and programs in biomedicine.
[54] Wray L. Buntine. Operations for Learning with Graphical Models , 1994, J. Artif. Intell. Res..
[55] Judea Pearl,et al. Equivalence and Synthesis of Causal Models , 1990, UAI.
[56] Gregory F. Cooper,et al. An Empirical Analysis of Likelihood-Weighting Simulation on a Large, Multiply-Connected Belief Network , 1991, Computers and biomedical research, an international journal.
[57] Adnan Darwiche,et al. Inference in belief networks: A procedural guide , 1996, Int. J. Approx. Reason..
[58] E. Dougherty,et al. Genomic Signal Processing and Statistics , 2005 .
[59] Aurélien Mazurie,et al. Gene networks inference using dynamic Bayesian networks , 2003, ECCB.
[60] Gregory F. Cooper,et al. The Computational Complexity of Probabilistic Inference Using Bayesian Belief Networks , 1990, Artif. Intell..
[61] Constantin F. Aliferis,et al. The max-min hill-climbing Bayesian network structure learning algorithm , 2006, Machine Learning.
[62] Peter Norvig,et al. Artificial Intelligence: A Modern Approach , 1995 .
[63] Daphne Koller,et al. Continuous Time Bayesian Networks , 2012, UAI.
[64] David Maxwell Chickering,et al. A Transformational Characterization of Equivalent Bayesian Network Structures , 1995, UAI.