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52![Efficient Semantic Deduction and Approximate Matching over Compact Parse Forests Roy Bar-Haim1 , Jonathan Berant2 , Ido Dagan1 ,Iddo Greental3 , Shachar Mirkin1 , Eyal Shnarch1 and Idan Szpektor1 1 Computer Science Depar Efficient Semantic Deduction and Approximate Matching over Compact Parse Forests Roy Bar-Haim1 , Jonathan Berant2 , Ido Dagan1 ,Iddo Greental3 , Shachar Mirkin1 , Eyal Shnarch1 and Idan Szpektor1 1 Computer Science Depar](https://www.pdfsearch.io/img/e06712e832372b41b588a10bff309d90.jpg) | Add to Reading ListSource URL: www-nlp.stanford.eduLanguage: English - Date: 2014-07-26 23:52:02
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53![Implementing Approximate inference for Latent Gaussian Markov Random Field Models: the INLA package for R. Implementing Approximate inference for Latent Gaussian Markov Random Field Models: the INLA package for R.](https://www.pdfsearch.io/img/f94048682ceffa5b82a457465f4ecb3a.jpg) | Add to Reading ListSource URL: www.bias-project.org.ukLanguage: English - Date: 2008-09-30 06:03:13
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55![Fast Inference for the Latent Space Network Model Using a Case-Control Approximate Likelihood1 Adrian E. Raftery, Xiaoyue Niu, Peter D. Hoff and Ka Yee Yeung University of Washington Working Paper no. 101 Center for Sta Fast Inference for the Latent Space Network Model Using a Case-Control Approximate Likelihood1 Adrian E. Raftery, Xiaoyue Niu, Peter D. Hoff and Ka Yee Yeung University of Washington Working Paper no. 101 Center for Sta](https://www.pdfsearch.io/img/b40b17d37ae4e562a0b9dd59a9e0c051.jpg) | Add to Reading ListSource URL: www.csss.washington.eduLanguage: English - Date: 2010-07-21 19:38:27
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56![Approximate
Inference:
Loopy
BP
&
Varia7onal
Methods
Excerpted
from:
Learning
in
Graphical
Models
Prof.
Alexander
Ihler
Approximate
Inference:
Loopy
BP
&
Varia7onal
Methods
Excerpted
from:
Learning
in
Graphical
Models
Prof.
Alexander
Ihler](https://www.pdfsearch.io/img/949e15bef94ce0012e07abe7a20e5cc3.jpg) | Add to Reading ListSource URL: www.ics.uci.eduLanguage: English - Date: 2014-12-02 23:52:34
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58![treatment of false positives, dependent parameters, uncertainties & selection effects open source tools applicable to all existing treatment of false positives, dependent parameters, uncertainties & selection effects open source tools applicable to all existing](https://www.pdfsearch.io/img/e0a1c4f0740dcde2499e0aed132b01e7.jpg) | Add to Reading ListSource URL: nexsci.caltech.eduLanguage: English - Date: 2015-03-17 12:16:13
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59![mcqmc2012-program-book.pdf mcqmc2012-program-book.pdf](https://www.pdfsearch.io/img/0275b334e72f7c3a5fd9bdd62041210b.jpg) | Add to Reading ListSource URL: www.mcqmc2012.unsw.edu.auLanguage: English - Date: 2012-02-07 19:21:40
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60![Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs Vikash K. Mansinghka⇤ 1,2 Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs Vikash K. Mansinghka⇤ 1,2](https://www.pdfsearch.io/img/0606b5acd5edfe73e939b403ab51140b.jpg) | Add to Reading ListSource URL: papers.nips.ccLanguage: English - Date: 2014-04-23 13:05:14
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