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software:mmr_mmmvr [2016/04/29 14:55]
c7031098
software:mmr_mmmvr [2018/09/03 19:35] (current)
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 The source code with examples can be downloaded [[@/​public/​git/​iismmmvr.php|here]]. The source code with examples can be downloaded [[@/​public/​git/​iismmmvr.php|here]].
  
-**Keywords**:​ data inputation, matrix completion, recommender systems, low-rank approximation,​ kernel methods+**Keywords**:​ data imputation, matrix completion, recommender systems, low-rank approximation,​ kernel methods
  
 **References** **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>​
  
-"//Kernel-Mapping Recommender System Algorithms//", ​Mustansar Ghazanfar, ​Adam Prügel-Bennett, ​Sandor Szedmak, Information Sciences 208, pp. 811042012[[https://iis.uibk.ac.at/public/papers/Ghazanfar-2012-InformSci.pdf|PDF]]+<​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. 10771084<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>​
  
-"//Incremental Kernel Mapping Algorithms for Scalable Recommender Systems//", Mustansar Ghanzanfar, Sandor Szedmak, Adam Prügel-Bennett, ​ IEEE International Conference on Tools with Artificial Intelligence,​ pp. 1077–1084,​ 2011. +<​html>​ 
-[[http://ieeexplore.ieee.org/xpl/​articleDetails.jsp?​arnumber=6103474|PDF]] +<​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 
- "//​Knowledge Propagation and Relation Learning for Predicting Action Effects//"​,   ​Sandor Szedmak, Emre Ugur, Justus Piater, ​IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 623–629, 2014. +      ​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>​ 
-[[https://​iis.uibk.ac.at/​public/​papers/​Szedmak-2014-IROS.pdf|PDF]] +</​html>​ 
-   + <​html>​ 
- "//​Learning missing edges via kernels in partially-known graphs//"​, Senka Krivic, Sandor Szedmak, Hanchen Xiong, Justus Piater, ​European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning 2015. [[https://​iis.uibk.ac.at/​public/​papers/​Krivic-2015-ESANN.pdf|PDF]]+<​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** **Acknowledgement**
software/mmr_mmmvr.1461934532.txt.gz · Last modified: 2018/09/03 14:57 (external edit)