1![Self-Paced Learning for Latent Variable Models M. Pawan Kumar Ben Packer Daphne Koller Computer Science Department Self-Paced Learning for Latent Variable Models M. Pawan Kumar Ben Packer Daphne Koller Computer Science Department](https://www.pdfsearch.io/img/bb4106427198c621824936e398647995.jpg) | Add to Reading ListSource URL: robotics.stanford.eduLanguage: English - Date: 2010-10-31 15:19:37
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2![Learning Linear Bayesian Networks with Latent Variables Animashree Anandkumar Department of EECS, University of California, Irvine Learning Linear Bayesian Networks with Latent Variables Animashree Anandkumar Department of EECS, University of California, Irvine](https://www.pdfsearch.io/img/232ca1afa1d6fcb9e37f1c5fc3c76908.jpg) | Add to Reading ListSource URL: proceedings.mlr.pressLanguage: English - Date: 2018-07-16 03:38:06
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3![Journal of Machine Learning ResearchSubmitted 8/15; Revised 6/16; PublishedIntegrative Analysis using Coupled Latent Variable Models for Individualizing Prognoses Journal of Machine Learning ResearchSubmitted 8/15; Revised 6/16; PublishedIntegrative Analysis using Coupled Latent Variable Models for Individualizing Prognoses](https://www.pdfsearch.io/img/b39a37f67ff2208c4d30ab14838f5acf.jpg) | Add to Reading ListSource URL: jmlr.csail.mit.eduLanguage: English - Date: 2017-07-22 15:42:28
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4![Learning Montages of Transformed Latent Images as Representations of Obje
ts that Change in Appearan
e Chris Pal1 , Brendan J. Frey2 , and Nebojsa Joji
3 1 Learning Montages of Transformed Latent Images as Representations of Obje
ts that Change in Appearan
e Chris Pal1 , Brendan J. Frey2 , and Nebojsa Joji
3 1](https://www.pdfsearch.io/img/090be56f536732215a9ebbc9448d3ee9.jpg) | Add to Reading ListSource URL: www.professeurs.polymtl.caLanguage: English - Date: 2009-02-23 15:09:32
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5![Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding Huayan Wang1 , Stephen Gould2 , and Daphne Koller1 1 2 Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding Huayan Wang1 , Stephen Gould2 , and Daphne Koller1 1 2](https://www.pdfsearch.io/img/3d3ef7283eb95b7fec509a9beeeec538.jpg) | Add to Reading ListSource URL: robotics.stanford.eduLanguage: English - Date: 2010-10-31 15:17:29
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6![Journal of Machine Learning Research1238 Submitted 4/08; Revised 11/08; Published 6/09 The Hidden Life of Latent Variables: Bayesian Learning with Mixed Graph Models Journal of Machine Learning Research1238 Submitted 4/08; Revised 11/08; Published 6/09 The Hidden Life of Latent Variables: Bayesian Learning with Mixed Graph Models](https://www.pdfsearch.io/img/adf9d4543909ebe9753fd83953c4326e.jpg) | Add to Reading ListSource URL: www.jmlr.org- Date: 2009-06-27 15:32:29
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7![Learning the Dependency Structure of Latent Factors Yunlong He⇤ Georgia Institute of Technology Yanjun Qi Learning the Dependency Structure of Latent Factors Yunlong He⇤ Georgia Institute of Technology Yanjun Qi](https://www.pdfsearch.io/img/82bf1d225aab40c8259c6d982eaa157f.jpg) | Add to Reading ListSource URL: www.cs.cmu.edu- Date: 2014-05-08 16:13:39
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8![Journal of Machine Learning Research1022 Submitted 2/02; Published 1/03 Latent Dirichlet Allocation David M. Blei Journal of Machine Learning Research1022 Submitted 2/02; Published 1/03 Latent Dirichlet Allocation David M. Blei](https://www.pdfsearch.io/img/24b1f7873db428c80a0186377749f596.jpg) | Add to Reading ListSource URL: www.jmlr.org- Date: 2004-08-31 14:18:26
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9![Learning Latent Personas of Film Characters David Bamman Brendan O’Connor Noah A. Smith School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213, USA {dbamman,brenocon,nasmith}@cs.cmu.edu Learning Latent Personas of Film Characters David Bamman Brendan O’Connor Noah A. Smith School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213, USA {dbamman,brenocon,nasmith}@cs.cmu.edu](https://www.pdfsearch.io/img/302938ccb04860c374b1d74881b06154.jpg) | Add to Reading ListSource URL: www.anthology.aclweb.org- Date: 2013-07-25 09:24:47
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10![Supplementary Material for Flexible Modeling of Latent Task Structures in Multitask Learning In this supplementary material, we derive the variational lower bound for our model and derive the update equation for all the Supplementary Material for Flexible Modeling of Latent Task Structures in Multitask Learning In this supplementary material, we derive the variational lower bound for our model and derive the update equation for all the](https://www.pdfsearch.io/img/e98be209259b27c871f543f242338c06.jpg) | Add to Reading ListSource URL: people.duke.edu- Date: 2012-06-11 19:06:13
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