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32![Learning stick-figure models using nonparametric Bayesian priors over trees Edward W. Meeds, David A. Ross, Richard S. Zemel, and Sam T. Roweis Department of Computer Science University of Toronto {ewm, dross, zemel, row Learning stick-figure models using nonparametric Bayesian priors over trees Edward W. Meeds, David A. Ross, Richard S. Zemel, and Sam T. Roweis Department of Computer Science University of Toronto {ewm, dross, zemel, row](https://www.pdfsearch.io/img/9ff6e8e137dfa6d0577380b992b6a7f5.jpg) | Add to Reading ListSource URL: www.cs.toronto.eduLanguage: English - Date: 2008-08-08 22:07:31
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33![vol. 166, no. 1 the american naturalist july 2005 vol. 166, no. 1 the american naturalist july 2005](https://www.pdfsearch.io/img/928514c54ff19de2d1d299f21891f3ac.jpg) | Add to Reading ListSource URL: doaklab.orgLanguage: English - Date: 2015-10-12 23:45:54
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34![GSDLAB TECHNICAL REPORT Why CART Works for Variability-Aware Performance Prediction? An Empirical Study on Performance Distributions GSDLAB TECHNICAL REPORT Why CART Works for Variability-Aware Performance Prediction? An Empirical Study on Performance Distributions](https://www.pdfsearch.io/img/8e7e673e171393f35f0edb9611b39141.jpg) | Add to Reading ListSource URL: www.infosun.fim.uni-passau.deLanguage: English - Date: 2013-05-15 08:35:26
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35![Linking substrate and habitat requirements of woodinhabiting fungi to their regional extinction vulnerability Linking substrate and habitat requirements of woodinhabiting fungi to their regional extinction vulnerability](https://www.pdfsearch.io/img/6991ae265e3da2b6dda61d246375f763.jpg) | Add to Reading ListSource URL: www.cts.cuni.czLanguage: English - Date: 2015-06-30 11:59:27
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36![Exercises 3: unconstrained maximization Let’s investigate Fact 1 from Daniel Wilhelm’s lecture notes. Fact 1: 1. if f has a local max (min) at point x∗ , then Df (x∗ ) = 0 and D2 f (x∗ ) is negative (positive) Exercises 3: unconstrained maximization Let’s investigate Fact 1 from Daniel Wilhelm’s lecture notes. Fact 1: 1. if f has a local max (min) at point x∗ , then Df (x∗ ) = 0 and D2 f (x∗ ) is negative (positive)](https://www.pdfsearch.io/img/ceb33bce9f7ddbb398d55aca1de44040.jpg) | Add to Reading ListSource URL: dl.dropboxusercontent.comLanguage: English |
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37![Tongue movements in space and time: Exploring a dynamic view on speech articulation Alessandro Vietti in collaboration with A. Pini, S. Vantini & L. Spreafico Speech dynamics, social meaning, and phonological categories Tongue movements in space and time: Exploring a dynamic view on speech articulation Alessandro Vietti in collaboration with A. Pini, S. Vantini & L. Spreafico Speech dynamics, social meaning, and phonological categories](https://www.pdfsearch.io/img/b39138f14104939f08d45ee1ab9e464b.jpg) | Add to Reading ListSource URL: www.phonetik.uni-muenchen.deLanguage: English - Date: 2016-07-26 07:58:11
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38![RMM Vol. 2, 2011, 146–178 Special Topic: Statistical Science and Philosophy of Science Edited by Deborah G. Mayo, Aris Spanos and Kent W. Staley http://www.rmm-journal.de/ Aris Spanos RMM Vol. 2, 2011, 146–178 Special Topic: Statistical Science and Philosophy of Science Edited by Deborah G. Mayo, Aris Spanos and Kent W. Staley http://www.rmm-journal.de/ Aris Spanos](https://www.pdfsearch.io/img/fed7a2d3dfc49eca4aebba530c351651.jpg) | Add to Reading ListSource URL: www.rmm-journal.comLanguage: English - Date: 2011-10-27 11:24:50
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39![Institute of Mathematical Statistics is collaborating with JSTOR to digitize, preserve, and extend access to The Annals of Probability. ® www.jstor.org
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40![1 Determining local transientness of audio signals St´ephane Molla and Bruno Torr´esani Abstract— We describe a new method for estimating the degree 1 Determining local transientness of audio signals St´ephane Molla and Bruno Torr´esani Abstract— We describe a new method for estimating the degree](https://www.pdfsearch.io/img/f82031256058a160c098b31b518304fe.jpg) | Add to Reading ListSource URL: www.mp3-tech.orgLanguage: English - Date: 2015-11-17 12:41:23
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