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Bayesian model reduction
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#	Item
1	Global estimation of child mortality using a Bayesian B-spline bias-reduction model Leontine Alkema and Jin Rou New Add to Reading List Source URL: www.childmortality.org - Date: 2014-09-26 01:57:00
2	Low Level Vision via Switchable Markov Random Fields Dahua Lin CSAIL, MIT John Fisher CSAIL, MIT Add to Reading List Source URL: dahua.me Language: English - Date: 2013-01-06 22:24:23 Statistics Artificial intelligence Computer vision Graphical models Machine learning Image processing Image segmentation Bayesian statistics Markov random field Conference on Computer Vision and Pattern Recognition Mixture model Noise reduction
3	Global estimation of child mortality using a Bayesian B-spline Bias-reduction model Leontine Alkema and Jin Rou New Add to Reading List Source URL: www.childmortality.org Language: English - Date: 2014-09-26 01:57:00 Statistics Interpolation Econometrics Actuarial science Science Population Spline Linear regression B-spline Regression analysis Demographic and Health Surveys Demography
4	Genome Informatics 15(2): 131–Recovering Genetic Regulatory Networks from Micro-Array Data and Location Analysis Data Add to Reading List Source URL: www.jsbi.org Language: English - Date: 2004-12-20 01:22:45 Gene expression Networks Cybernetics Dimension reduction Feature selection Model selection Algorithm Gene regulatory network DNA microarray Bayesian network Regression analysis Machine learning
5	PARAMETER AND STATE MODEL REDUCTION FOR LARGE-SCALE STATISTICAL INVERSE PROBLEMS CHAD LIEBERMAN∗ , KAREN WILLCOX† , AND OMAR GHATTAS‡ Abstract. A greedy algorithm for the construction of a reduced model with reduct Add to Reading List Source URL: raphael.mit.edu Language: English - Date: 2010-09-23 10:19:59 Markov models Monte Carlo methods Statistical theory Markov chain Monte Carlo Inverse problem Parameter space Markov chain Estimation theory Bayesian inference Statistics Statistical inference Bayesian statistics
6	Model Reduction for Dynamic Sensor Steering: A Bayesian Approach to Inverse Problems by Sonja Wogrin Submitted to the School of Engineering Add to Reading List Source URL: raphael.mit.edu Language: English - Date: 2008-06-02 09:53:51 Mathematical optimization Mathematics Logic Algorithm Mathematical logic Theoretical computer science
7	Sparse Long-Range Random Field and its Application to Image Denoising Yunpeng Li and Daniel P. Huttenlocher Department of Computer Science, Cornell University, Ithaca, NY 14853 {yuli,dph}@cs.cornell.edu Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2008-07-27 07:55:12 Bayesian statistics Artificial intelligence Markov random field Theoretical computer science Clique Noise reduction Markov model Clique problem Community structure Graph theory Networks Graphical models
8	INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING Int. J. Numer. Meth. Engng[removed]Published online in Wiley Online Library (wileyonlinelibrary.com). DOI: [removed]nme.4748 Data-driven model reduction for the Ba Add to Reading List Source URL: web.mit.edu Language: English - Date: 2014-10-06 09:25:06 Markov models Computational statistics Bayesian statistics Markov chain Monte Carlo Bayesian inference Estimation theory Markov chain Metropolis–Hastings algorithm Monte Carlo integration Statistics Monte Carlo methods Statistical inference
9	A Bayesian approach for place recognition Add to Reading List Source URL: www-personal.acfr.usyd.edu.au Language: English - Date: 2015-01-05 23:35:38 Multivariate statistics Statistical models Estimation theory Expectation–maximization algorithm Nonlinear dimensionality reduction Mixture model Variational Bayesian methods Conjugate prior Hidden Markov model Statistics Bayesian statistics Statistical theory
10	Identifying Potential Clinical Syndromes of Hepatocellular Carcinoma Using PSO-Based Hierarchical Feature Selection Algorithm Add to Reading List Source URL: www.ncbi.nlm.nih.gov Language: English Feature selection Swarm behaviour Genetic algorithm Cross-validation Bayesian network Statistics Model selection Dimension reduction