71![Hilbert Space Embeddings of Hidden Markov Models Le Song Byron Boots Hilbert Space Embeddings of Hidden Markov Models Le Song Byron Boots](https://www.pdfsearch.io/img/589710de0030e6fdcddd73a74650420f.jpg) | Add to Reading ListSource URL: select.cs.cmu.eduLanguage: English - Date: 2011-07-19 22:00:19
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72![Transition State Clustering: Unsupervised Surgical Trajectory Segmentation For Robot Learning Sanjay Krishnan*1 , Animesh Garg*2 , Sachin Patil1 , Colin Lea3 , Gregory Hager3 , Pieter Abbeel1 , Ken Goldberg1,2 *denotes e Transition State Clustering: Unsupervised Surgical Trajectory Segmentation For Robot Learning Sanjay Krishnan*1 , Animesh Garg*2 , Sachin Patil1 , Colin Lea3 , Gregory Hager3 , Pieter Abbeel1 , Ken Goldberg1,2 *denotes e](https://www.pdfsearch.io/img/bbbbcbc4378ec99dfa32a3ab26cc7e74.jpg) | Add to Reading ListSource URL: goldberg.berkeley.eduLanguage: English - Date: 2015-09-09 10:51:11
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73![Chapter 4 An Introduction to Hidden Markov Models for Biological Sequences by Anders Krogh Center for Biological Sequence Analysis Technical University of Denmark Chapter 4 An Introduction to Hidden Markov Models for Biological Sequences by Anders Krogh Center for Biological Sequence Analysis Technical University of Denmark](https://www.pdfsearch.io/img/08eac6a82b892aeefd014e7284fa1066.jpg) | Add to Reading ListSource URL: people.binf.ku.dkLanguage: English - Date: 2005-11-10 10:33:00
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74![Journal of Artificial Intelligence Research591 Submitted 11/08; publishedOptimal Value of Information in Graphical Models Andreas Krause Journal of Artificial Intelligence Research591 Submitted 11/08; publishedOptimal Value of Information in Graphical Models Andreas Krause](https://www.pdfsearch.io/img/ab74f84c1a840097d2ee732a48c67b5c.jpg) | Add to Reading ListSource URL: select.cs.cmu.eduLanguage: English - Date: 2009-08-13 03:47:05
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75![IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, VOL. 10, NO. 1, FEBRUARYEvolving the Structure of Hidden Markov Models Kyoung-Jae Won, Adam Prügel-Bennett, and Anders Krogh IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, VOL. 10, NO. 1, FEBRUARYEvolving the Structure of Hidden Markov Models Kyoung-Jae Won, Adam Prügel-Bennett, and Anders Krogh](https://www.pdfsearch.io/img/6bc7a899d7b3b81a02ff8ebc273757d5.jpg) | Add to Reading ListSource URL: people.binf.ku.dkLanguage: English - Date: 2006-02-07 06:57:41
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76![Supplemental Material: Stochastic variational inference for hidden Markov models Nicholas J. Foti† , Jason Xu† , Dillon Laird, and Emily B. Fox University of Washington {nfoti@stat,jasonxu@stat,dillonl2@cs,ebfox@stat Supplemental Material: Stochastic variational inference for hidden Markov models Nicholas J. Foti† , Jason Xu† , Dillon Laird, and Emily B. Fox University of Washington {nfoti@stat,jasonxu@stat,dillonl2@cs,ebfox@stat](https://www.pdfsearch.io/img/63081a546a42a5e5af998f9db424f18b.jpg) | Add to Reading ListSource URL: nfoti.github.ioLanguage: English - Date: 2015-09-18 20:38:59
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77![Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees Joseph E. Gonzalez Carnegie Mellon University Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees Joseph E. Gonzalez Carnegie Mellon University](https://www.pdfsearch.io/img/7a913f1f1d1b4f16d4373a48fd1284ea.jpg) | Add to Reading ListSource URL: select.cs.cmu.eduLanguage: English |
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78![Stochastic Variational Inference for Hidden Markov Models Nicholas J. Foti† , Jason Xu† , Dillon Laird, and Emily B. Fox University of Washington {nfoti@stat,jasonxu@stat,dillonl2@cs,ebfox@stat}.washington.edu Stochastic Variational Inference for Hidden Markov Models Nicholas J. Foti† , Jason Xu† , Dillon Laird, and Emily B. Fox University of Washington {nfoti@stat,jasonxu@stat,dillonl2@cs,ebfox@stat}.washington.edu](https://www.pdfsearch.io/img/b1256a46a8af64f500e77ade1f2d9e74.jpg) | Add to Reading ListSource URL: nfoti.github.ioLanguage: English - Date: 2015-09-18 20:38:59
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79![1 Inference in Hidden Markov Models with Explicit State Duration Distributions Michael Dewar, Chris Wiggins, Frank Wood 1 Inference in Hidden Markov Models with Explicit State Duration Distributions Michael Dewar, Chris Wiggins, Frank Wood](https://www.pdfsearch.io/img/d798f5da78e109a7f488fe39ad8e72ca.jpg) | Add to Reading ListSource URL: www.stat.columbia.eduLanguage: English - Date: 2012-03-01 14:11:32
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80![An Evaluation of Models for Predicting Opponent Positions in First-Person Shooter Video Games Stephen Hladky and Vadim Bulitko filters to predict opponent positions in first-person shooter (FPS) video games. These models An Evaluation of Models for Predicting Opponent Positions in First-Person Shooter Video Games Stephen Hladky and Vadim Bulitko filters to predict opponent positions in first-person shooter (FPS) video games. These models](https://www.pdfsearch.io/img/8624866459f0cb3045630377f3c07b07.jpg) | Add to Reading ListSource URL: www.csse.uwa.edu.auLanguage: English - Date: 2009-02-05 01:17:42
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