151![Markov Chain Monte Carlo (and Bayesian Mixture Models) David M. Blei Columbia University October 14, 2014 Markov Chain Monte Carlo (and Bayesian Mixture Models) David M. Blei Columbia University October 14, 2014](https://www.pdfsearch.io/img/1ad19f0d622c35747d837ddb4b17579d.jpg) | Add to Reading ListSource URL: www.cs.columbia.eduLanguage: English - Date: 2015-03-12 00:16:19
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152![Journal of Artificial Intelligence Research883 Submitted 06/13; publishedScalable and Efficient Bayes-Adaptive Reinforcement Learning Based on Monte-Carlo Tree Search Journal of Artificial Intelligence Research883 Submitted 06/13; publishedScalable and Efficient Bayes-Adaptive Reinforcement Learning Based on Monte-Carlo Tree Search](https://www.pdfsearch.io/img/e562741f3e82b3e7ff20e00ea13733c7.jpg) | Add to Reading ListSource URL: www.gatsby.ucl.ac.ukLanguage: English - Date: 2013-11-28 14:07:54
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153![Hybrid In-Database Inference for Declarative Information Extraction Daisy Zhe Wang Michael J. Franklin Hybrid In-Database Inference for Declarative Information Extraction Daisy Zhe Wang Michael J. Franklin](https://www.pdfsearch.io/img/f6f34cbfa6ef202382c36b9147f32c39.jpg) | Add to Reading ListSource URL: www.cise.ufl.eduLanguage: English - Date: 2014-08-27 19:27:29
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154![Introduction Parameter inference Top-down modelling Conclusions Introduction Introduction Parameter inference Top-down modelling Conclusions Introduction](https://www.pdfsearch.io/img/abc03cc10fb21217ae3205fcfd90fbb3.jpg) | Add to Reading ListSource URL: www.cs.tut.fiLanguage: English - Date: 2008-07-01 04:54:35
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155![PIMS Distinguished Lecture Series Poster - Prepress PIMS Distinguished Lecture Series Poster - Prepress](https://www.pdfsearch.io/img/435b2327878d0bb370b8d72c6ecf9b10.jpg) | Add to Reading ListSource URL: probability.caLanguage: English - Date: 2009-05-07 12:58:46
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156![Discussion contribution: Lindgren, F., Rue, H. and Lindstr¨om, JAn explicit link between Gaussian fields and Gaussian Markov random fields: The stochastic partial differential equation approach. To appear in J Discussion contribution: Lindgren, F., Rue, H. and Lindstr¨om, JAn explicit link between Gaussian fields and Gaussian Markov random fields: The stochastic partial differential equation approach. To appear in J](https://www.pdfsearch.io/img/967f7d9c1457a2e8f82708d635e6c1de.jpg) | Add to Reading ListSource URL: people.math.aau.dkLanguage: English - Date: 2011-03-23 05:55:28
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157![CHAPTER ONE. Introduction. My Ph.D. thesis is concerned with convergence properties of certain Markov chains. Specifically, I have studied various random walks on finite and compact Lie groups (Chapters 2 and 3), and ha CHAPTER ONE. Introduction. My Ph.D. thesis is concerned with convergence properties of certain Markov chains. Specifically, I have studied various random walks on finite and compact Lie groups (Chapters 2 and 3), and ha](https://www.pdfsearch.io/img/bdca038bac435ca98b8c871a983e4166.jpg) | Add to Reading ListSource URL: probability.caLanguage: English - Date: 2006-10-04 21:23:47
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158![Reservoir Modeling Combining Geostatistics with Markov Chain Monte Carlo Inversion Andrea Zunino, Katrine Lange, Yulia Melnikova, Thomas Mejer Hansen and Klaus Mosegaard 1 Introduction Reservoir Modeling Combining Geostatistics with Markov Chain Monte Carlo Inversion Andrea Zunino, Katrine Lange, Yulia Melnikova, Thomas Mejer Hansen and Klaus Mosegaard 1 Introduction](https://www.pdfsearch.io/img/ec17f6d178332ab35639f538f8766720.jpg) | Add to Reading ListSource URL: www.nbi.dkLanguage: English - Date: 2015-05-05 07:36:22
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159![Rates of Convergence for Gibbs Sampling for Variance Component Models by Jeffrey S. Rosenthal Department of Statistics, University of Toronto, Toronto, Ontario, Canada M5S 1A1 Phone: (. Rates of Convergence for Gibbs Sampling for Variance Component Models by Jeffrey S. Rosenthal Department of Statistics, University of Toronto, Toronto, Ontario, Canada M5S 1A1 Phone: (.](https://www.pdfsearch.io/img/6307ea383c7f4cb41175efd4b6654025.jpg) | Add to Reading ListSource URL: probability.caLanguage: English - Date: 2006-10-04 21:24:18
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160![CHAPTER SIX. Concluding Comments. In this thesis, we have considered various Markov chains, and in particular their rates of convergence. Many of the results presented suggest possible generalizations and directions for CHAPTER SIX. Concluding Comments. In this thesis, we have considered various Markov chains, and in particular their rates of convergence. Many of the results presented suggest possible generalizations and directions for](https://www.pdfsearch.io/img/bcd5c347f0abc83b49c0db8a8ab67e9c.jpg) | Add to Reading ListSource URL: probability.caLanguage: English - Date: 2006-10-04 21:23:36
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