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--- software:mmr_mmmvr [2016/06/06 08:31]
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+++ software:mmr_mmmvr [2018/09/03 19:35]
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-==== Innsbruck Maximum Margin Multi Valued Regression Framework ====
-{{:software:fig1.png?250|}} {{:software:fig2.png?250|}} {{:software:fig3.png?250|}}
-The source code with examples can be downloaded [[@/public/git/iismmmvr.php|here]].
-**Keywords**: data imputation, matrix completion, recommender systems, low-rank approximation, kernel methods
-**References**
-<html>
-<li><div class="li JOUR" id="Ghazanfar-2012-InformSci" title="Ghazanfar-2012-InformSci"><p><span class="author"><span class="firstname">Mustansar</span> <span class="surname">Ghazanfar</span></span>, <span class="author"><span class="firstname">Adam</span> <span class="surname">Prügel-Bennett</span></span>, <span class="author"><span class="firstname">Sandor</span> <span class="surname">Szedmak</span></span>, <span class="parttitle">Kernel-Mapping Recommender System Algorithms. </span>Information Sciences 208, pp. 81–104, <span class="pubdate">2012</span>. <span class="actions"> <a title="DOI" href="http://dx.doi.org/10.1016/j.ins.2012.04.012"><img alt="[DOI]" src="doi.png"/></a> <a href="#copyright.notice.Elsevier" title="Elsevier copyright notice">© Elsevier</a> <a href="#Ghazanfar-2012-InformSci">[Link]</a> <a href="https://iis.uibk.ac.at/public/papers/Ghazanfar-2012-InformSci.pdf">[PDF]</a> <a href="javascript:void(0)" onclick="showHide('Ghazanfar-2012-InformSci', 'Abstract')">[Abstract]</a> <a href="javascript:void(0)" onclick="showHide('Ghazanfar-2012-InformSci', 'BibTeX')">[BibTeX]</a></span></p></div></li>
-</html>
-<html>
-<li><div class="li CONF" id="Ghazanfar-2011-ICTAI" title="Ghazanfar-2011-ICTAI"><p><span class="author"><span class="firstname">Mustansar</span> <span class="surname">Ghanzanfar</span></span>, <span class="author"><span class="firstname">Sandor</span> <span class="surname">Szedmak</span></span>, <span class="author"><span class="firstname">Adam</span> <span class="surname">Prügel-Bennett</span></span>, <span class="parttitle">Incremental Kernel Mapping Algorithms for Scalable
-      Recommender Systems. </span>IEEE International Conference on Tools with
-      Artificial Intelligence, pp. 1077–1084, <span class="pubdate">2011</span>. <span class="actions"> <a title="DOI" href="http://dx.doi.org/10.1109/ICTAI.2011.183"><img alt="[DOI]" src="doi.png"/></a> <a href="#copyright.notice.IEEE" title="IEEE copyright notice">© IEEE</a> <a href="#Ghazanfar-2011-ICTAI">[Link]</a> <a href="http://dx.doi.org/10.1109/ICTAI.2011.183">[PDF]</a> <a href="javascript:void(0)" onclick="showHide('Ghazanfar-2011-ICTAI', 'Abstract')">[Abstract]</a> <a href="javascript:void(0)" onclick="showHide('Ghazanfar-2011-ICTAI', 'BibTeX')">[BibTeX]</a></span></p></div></li>
-</html>
-<html>
-<li><div class="li CONF" id="Szedmak-2014-IROS" title="Szedmak-2014-IROS"><p><span class="author"><span class="firstname">Sandor</span> <span class="surname">Szedmak</span></span>, <span class="author"><span class="firstname">Emre</span> <span class="surname">Ugur</span></span>, <span class="author"><span class="firstname">Justus</span> <span class="surname">Piater</span></span>, <span class="parttitle">Knowledge Propagation and Relation Learning for
-      Predicting Action Effects. </span><a href="http://www.iros2014.org/">IEEE/RSJ International Conference on
-      Intelligent Robots and Systems</a>, pp. 623–629, <span class="pubdate">2014</span>. <span class="actions"> <a title="DOI" href="http://dx.doi.org/10.1109/IROS.2014.6942624"><img alt="[DOI]" src="doi.png"/></a> <a href="#copyright.notice.IEEE" title="IEEE copyright notice">© IEEE</a> <a href="#Szedmak-2014-IROS">[Link]</a> <a href="https://iis.uibk.ac.at/public/papers/Szedmak-2014-IROS.pdf">[PDF]</a> <a href="javascript:void(0)" onclick="showHide('Szedmak-2014-IROS', 'Abstract')">[Abstract]</a> <a href="javascript:void(0)" onclick="showHide('Szedmak-2014-IROS', 'BibTeX')">[BibTeX]</a></span></p></div></li>
-</html>
- <html>
-<li><div class="li CONF" id="Krivic-2015-ESANN" title="Krivic-2015-ESANN"><p><span class="author"><span class="firstname">Senka</span> <span class="surname">Krivić</span></span>, <span class="author"><span class="firstname">Sandor</span> <span class="surname">Szedmak</span></span>, <span class="author"><span class="firstname">Hanchen</span> <span class="surname">Xiong</span></span>, <span class="author"><span class="firstname">Justus</span> <span class="surname">Piater</span></span>, <span class="parttitle">Learning missing edges via kernels in partially-known
-      graphs. </span><a href="https://www.elen.ucl.ac.be/esann/">European Symposium on Artificial Neural
-      Networks, Computational Intelligence and Machine
-      Learning</a>, <span class="pubdate">2015</span>. <span class="actions"> <a href="#Krivic-2015-ESANN">[Link]</a> <a href="https://iis.uibk.ac.at/public/papers/Krivic-2015-ESANN.pdf">[PDF]</a> <a href="javascript:void(0)" onclick="showHide('Krivic-2015-ESANN', 'Abstract')">[Abstract]</a> <a href="javascript:void(0)" onclick="showHide('Krivic-2015-ESANN', 'BibTeX')">[BibTeX]</a></span></p></div></li>
-</html>
-**Acknowledgement**
-This research has received funding from the European Community’s Seventh Framework Programme FP7/2007-2013 (Specic Programme Cooperation, Theme 3,Information and Communication Technologies) under grant agreement no. 270273, [[http://www.xperience.org/|Xperience]] and no. 610532, [[http://www.squirrel-project.eu/|Squirrel]]. \\
-**Contact** \\
-[[senka.krivic@uibk.ac.at]] \\
-[[sandor.szedmak@aalto.fi]]

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