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Presentations for Conclusions
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Presentation Global Warming
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Undergrad and Grad
-TOEFL
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By
Earle Stone
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Tags: Slide 1 , Slide 2 , Slide 3 , Slide 4 , Slide 5 , Slide 6 , Slide 7 , Slide 8 , Slide 9 , Slide 10 , Slide 11 , Slide 12 , Slide 13 , Slide 14 , Slide 15 , Slide 16 , Slide 17 , Slide 18 , Slide 19 , Slide 20 , Slide 21 , Slide 22 , Slide 23 , Slide 24 , Slide 25
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Extending Expectation Propagation for Graphical Mo
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Extending Expectation Propagation for Graphical Models Yuan (Alan) Qi Joint work with Tom Minka Motivation Graphical models are widely used in real-world applications, such as wireless communications and bioinformatics. Inference techniques on graphical models often sacrifice efficiency for accuracy or sacrifice accuracy for efficiency. Need a method that better balances the trade-off between accuracy and efficiency.
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Undergrad and Grad
-Applied Sciences
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By
lee Luther
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Tags: Extending Expectation Propagation Graphical Models , Yuan (Alan) Qi , Outline , Background expectation propagation (EP) , Extending EP Bayesian networks dynamic systems , Poisson tracking , Signal detection wireless communications , Tree-structured EP loopy graphs , Conclusions and future work , Joint work Tom Minka
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Handling Missing Data
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Handling Missing Data
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Undergrad and Grad
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By
Paull Shocker
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Tags: Presentation Outline , Various plots , Assessing missing pattern , Spearman rank correlation , logistic regression , Data analysis missing data - Multiple Imputation , Random hot deck imputation bootstrap , PROC MI and MIANALIZE (SAS) , Transcan function (Hmisc library plus or R) , Conclusions , work , Preliminary analysis , RESPONSE OVERVIEW , Sample size , 2389 , Males , 1097 (45.9%) , Females , 1292 (54.1%) , Observed , 1691 , Missing , 698 (28.8%) , Mean , 0.9129
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