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software:mmr_mmmvr [2016/04/29 14:54]
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 inputation, matrix completion, recommender systems, low-rank approximation,​ kernel methods 
-"//​Kernel-Mapping Recommender System Algorithms//",​ Mustansar Ghazanfar, Adam Prügel-Bennett,​ Sandor Szedmak, Information Sciences 208, pp. 81–104, 2012. [[https://​​public/​papers/​Ghazanfar-2012-InformSci.pdf|PDF]] 
-"//​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. 
- "//​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. 
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- "//​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://​​public/​papers/​Krivic-2015-ESANN.pdf|PDF]] 
-This research has received funding from the European Community’s Seventh Framework Programme FP7/​2007-2013 (Speci c Programme Cooperation,​ Theme 3,​Information and Communication Technologies) under grant agreement no. 270273, [[http://​​|Xperience]] and no. 610532, [[http://​​|Squirrel]. 
-[[]] \\ 
software/mmr_mmmvr.txt · Last modified: 2018/09/03 19:35 (external edit)