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581	Title: Prospective Analysis of Large and Complex Partially Observed Evolving Information Networks Speaker: Zoran Obradovic, Laura H. Carnell Professor of Data Analytics Data Analytics and Biomedical Informatics Center, C Add to Reading List Source URL: fon.rs Language: English - Date: 2014-06-16 10:09:06 Applied mathematics Actuarial science Econometrics Regression analysis Conditional random field Data mining Statistics Graphical models Machine learning
582	* 2. Manuscript Efficient Belief Propagation for Higher Order Cliques Using Linear Constraint Nodes Brian Potetz ∗, Tai Sing Lee Department of Computer Science & Center for the Neural Basis of Cognition Add to Reading List Source URL: www.cnbc.cmu.edu Language: English - Date: 2008-05-08 10:29:51 Graph theory Probability theory Networks Theoretical computer science Belief propagation Coding theory Markov random field Factor graph Exponential family Graphical models Mathematical analysis Mathematics
583	Title: Prospective Analysis of Large and Complex Partially Observed Evolving Information Networks Speaker: Zoran Obradovic, Laura H. Carnell Professor of Data Analytics Data Analytics and Biomedical Informatics Center, C Add to Reading List Source URL: www.fon.bg.ac.rs Language: English - Date: 2014-06-16 10:09:06 Applied mathematics Actuarial science Econometrics Regression analysis Conditional random field Data mining Statistics Graphical models Machine learning
584	BEE2: a multi-purpose computing platform for radio telescope digital signal processing applications Bob Brodersen, Chen Chang, John Wawrzynek Add to Reading List Source URL: bee2.eecs.berkeley.edu Language: English - Date: 2008-02-23 02:46:56 Electronic engineering Field-programmable gate array Dynamic random-access memory Xilinx Random-access memory Memory bandwidth Cell InfiniBand Computer memory Computing Computer hardware
585	Concurrent Activity Recognition For Clinical Work Afsaneh Doryab and Julian Togelius Abstract— We present an approach to learning to recognize concurrent activities based on multiple data streams. One example is recogn Add to Reading List Source URL: julian.togelius.com Language: English - Date: 2013-08-26 11:58:53 Learning Conditional random field Activity recognition Supervised learning Hidden Markov model Statistical classification Speech recognition Machine learning Artificial intelligence Science
586	MAKING THE REALS FROM THE RATIONALS, WEEK 2 MATTHEW TAI We started out by asking how to do arithmetic on our sequences. We decided that both addition and multiplication would be pointwise, i.e. that (0, 0, 0, 0, ...) + ( Add to Reading List Source URL: www.themathcircle.org Language: English - Date: 2007-10-20 22:30:42 Field theory Real algebraic geometry Real number Randomness Rational number Fraction Random sequence Multiplication Mathematics Elementary mathematics Elementary arithmetic
587	1 1.1 declarative representation model Add to Reading List Source URL: pgm.stanford.edu Language: English - Date: 2009-09-08 20:07:47 Probability and statistics Statistical models Networks Markov models Bayesian network Markov random field Probabilistic logic Machine learning Markov chain Statistics Graphical models Bayesian statistics
588	Contents Acknowledgments xxiii Add to Reading List Source URL: pgm.stanford.edu Language: English - Date: 2009-09-08 20:07:47 Probability theory Statistical models Networks Bayesian network Bayesian inference Markov random field Expectation–maximization algorithm Belief propagation Gibbs sampling Statistics Bayesian statistics Graphical models
589	Title: Prospective Analysis of Large and Complex Partially Observed Evolving Information Networks Speaker: Zoran Obradovic, Laura H. Carnell Professor of Data Analytics Data Analytics and Biomedical Informatics Center, C Add to Reading List Source URL: www.fon.rs Language: English - Date: 2014-06-16 10:09:06 Applied mathematics Actuarial science Econometrics Regression analysis Conditional random field Data mining Statistics Graphical models Machine learning
590	Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling Andrew Kae∗1 , Kihyuk Sohn∗2 , Honglak Lee2 , Erik Learned-Miller1 1 University of Massachusetts, Amherst, MA, USA, {akae,elm}@cs.umass.edu 2 Uni Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2013-04-21 18:03:25 Bayesian statistics Networks Statistical models Applied mathematics Probability and statistics Conditional random field Boltzmann machine Segmentation Bayesian network Graphical models Statistics Theoretical computer science

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