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<p>-------- Mensaje original --------</p>
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<td>Fwd: Conference on Bayesian Inference and ME: MaxEnt 2019 : Abstract submission now open</td>
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<td>2019-04-03 12:19</td>
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<th align="right" valign="baseline" nowrap="nowrap">Remitente:</th>
<td>Mariela Portesi <mariela.portesi@gmail.com></td>
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<th align="right" valign="baseline" nowrap="nowrap">Destinatario:</th>
<td>Secretaria del Dpto.de Física <secre2@fisica.unlp.edu.ar>, Secretaría Depto. de Matemática <secre@mate.unlp.edu.ar></td>
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<th align="right" valign="baseline" nowrap="nowrap">Copia:</th>
<td>infoCuanticaLP@gmail.com, locic@googlegroups.com</td>
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<p><span style="font-family: LiberationSans;"><span style="font-size: large;">39th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering </span>(MaxEnt 2019)</span></p>
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<p><span style="font-family: Roboto; font-weight: bold;">Garching bei München, </span><span style="font-family: Roboto; font-weight: bold;">30.6.- 5.7.2019</span></p>
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<p><span style="font-size: 12pt; font-family: LiberationSans;">Main topics of the workshop are the application of Bayesian inference and the maximum entropy principle to inverse problems in science, machine learning, information theory and engineering.</span></p>
<p><span style="font-size: 12pt; font-family: LiberationSans;">Inverse and uncertainty quantification (UQ) problems arise from a large variety of applications, such as earth science, astrophysics, material and plasma science, imaging in geophysics and medicine, nondestructive testing, density estimation, remote sensing, Gaussian process (GP) regression, optimal experimental design, data assimilation and data mining.</span></p>
<p><span style="font-size: 12pt; font-family: LiberationSans;">The workshop thus invites contributions on all aspects of probabilistic inference, including novel techniques and applications, and work that sheds new light on the foundations of inference.</span></p>
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<div class="gmail_attr" dir="ltr">---------- Forwarded message ---------<br />From: <strong class="gmail_sendername" dir="auto">Udo von Toussaint</strong> <span><<a href="mailto:udt@ipp.mpg.de">udt@ipp.mpg.de</a>></span><br />Date: mar., 2 abr. 2019 a las 17:43<br />Subject: Conference on Bayesian Inference and ME: MaxEnt 2019 : Abstract submission now open<br />To: <<a href="mailto:maxent2019@ipp.mpg.de">maxent2019@ipp.mpg.de</a>></div>
<br /><br />Dear Colleagues,<br /> <br /> on behalf of the organizing committee it is a pleasure to announce that the<br /> --> Abstract submission <-- for the<br /> <br /> 39th workshop on Bayesian inference and Maximum Entropy methods in science and <br /> engineering ( <a href="http://www.ipp.mpg.de/maxent2019" rel="noreferrer">www.ipp.mpg.de/maxent2019</a> )<br /> <br /> is now open.<br /> <br /> <br /> The workshop is focussed on UQ methods, high-dimensional problems in machine <br /> learning and experimental design, MCMC methods and information reduction<br /> with emphasis on applications (eg. astrophysics, molecular dynamics,<br /> robotics and hydrodynamics).<br /> <br /> It will take place in Garching/Munich at the Max-Planck-Institute for <br /> Plasmaphysics (IPP) from Sunday, 30th of June to Friday, 5th of July 2019.<br /> <br /> See the website <a href="http://www.ipp.mpg.de/maxent2019" rel="noreferrer">www.ipp.mpg.de/maxent2019</a> for further details<br /> and registration information.<br /> <br /> Please find the announcement poster for circulation attached.<br /> <br /> With kind regards<br /> PD Udo von Toussaint<br /> <br /> ---------------------------<br /> <br /> P.S.: If you want to be removed from this low-traffic mailing list, please let <br /> us know.<br /> <br /> *****************************************<br /> * Udo v. Toussaint *<br /> * Tel.: 089/3299-1817 *<br /> * Fax : 089/3299-961817 *<br /> * e-mail : <a href="mailto:udo.v.toussaint@ipp.mpg.de">udo.v.toussaint@ipp.mpg.de</a> *<br /> * Boltzmannstr. 2 *<br /> * D-85748 Garching *<br /> * ------------------------------------- *<br /> * gpg-fingerprint:2BDE FC7C EB09 59D1 *<br /> * B660 1734 423B D29B CCB7 01CA *<br /> * Public-Key: *<br /> * <a href="http://www.rzg.mpg.de/~udt/pgp.asc" rel="noreferrer">http://www.rzg.mpg.de/~udt/pgp.asc</a> *<br /> *****************************************</div>
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