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- | ==== Innsbruck Maximum Margin Multi Valued Regression Framework ==== | ||
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- | {{:software:fig1.png?250|}} {{:software:fig2.png?250|}} {{:software:fig3.png?250|}} | ||
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- | The source code with examples can be downloaded [[@/public/git/iismmmvr.php|here]]. | ||
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- | **Keywords**: data inputation, matrix completion, recommender systems, low-rank approximation, kernel methods | ||
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- | **References** | ||
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- | "//Kernel-Mapping Recommender System Algorithms//", Mustansar Ghazanfar, Adam Prügel-Bennett, Sandor Szedmak, Information Sciences 208, pp. 81–104, 2012. [[https://iis.uibk.ac.at/public/papers/Ghazanfar-2012-InformSci.pdf|PDF]] | ||
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- | "//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. | ||
- | [[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6103474|PDF]] | ||
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- | "//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. | ||
- | [[https://iis.uibk.ac.at/public/papers/Szedmak-2014-IROS.pdf|PDF]] | ||
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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://iis.uibk.ac.at/public/papers/Krivic-2015-ESANN.pdf|PDF]] | ||
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- | **Acknowledgement** | ||
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- | 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]]. \\ | ||
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- | **Contact** \\ | ||
- | [[senka.krivic@uibk.ac.at]] \\ | ||
- | [[sandor.szedmak@aalto.fi]] |