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Learning Preference Models from Data: On the Problem of Label Ranking and Its Variants [chapter]

Eyke Hüllermeier, Johannes Fürnkranz
<span title="">2008</span> <i title="Springer Vienna"> Preferences and Similarities </i> &nbsp;
A related ranking procedure, called "ranking through iterated choice", is investigated experimentally. * Extended version of the conference paper Hüllermeier and Fürnkranz (2005) .  ...  After a brief overview of the field, this work focuses on a particular learning scenario called label ranking, where the problem is to learn a mapping from instances to rankings over a finite number of  ...  "ranking through iterated choice" procedure.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-211-85432-7_12">doi:10.1007/978-3-211-85432-7_12</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jfd6sndshza33lbqepr3kwz6ay">fatcat:jfd6sndshza33lbqepr3kwz6ay</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808125919/http://www.ke.tu-darmstadt.de/~juffi/publications/preferences-and-similarities-chapter.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/71/90/71902cf04dd360f3e1aeedc0988ae3d9ce3c4bb6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-211-85432-7_12"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

On predictive accuracy and risk minimization in pairwise label ranking

Eyke Hüllermeier, Johannes Fürnkranz
<span title="">2010</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/p6ovb2qpkfenhmb7mcksobrcxq" style="color: black;">Journal of computer and system sciences (Print)</a> </i> &nbsp;
Focusing on the position error, which has received less attention so far, we then propose a ranking procedure called ranking through iterated choice as well as an efficient pairwise implementation thereof  ...  In this regard, we distinguish between two types of errors, called, respectively, ranking error and position error.  ...  More specifically, we propose a ranking procedure called ranking through iterated choice (RIC) and offer empirical evidence in favor of its superior performance as a risk minimizer for the position error  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.jcss.2009.05.005">doi:10.1016/j.jcss.2009.05.005</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/slnrmdyznrfyzhwegsq33uvrj4">fatcat:slnrmdyznrfyzhwegsq33uvrj4</a> </span>
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Learning Label Preferences: Ranking Error Versus Position Error [chapter]

Eyke Hüllermeier, Johannes Fürnkranz
<span title="">2005</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
Moreover, we discuss a loss function suitable for settings where candidate labels must be tested successively until a target label is found, and propose a ranking procedure for minimizing the corresponding  ...  We consider the problem of learning a ranking function, that is a mapping from instances to rankings over a finite number of labels.  ...  Based on this result, the "ranking through iterated choice" procedure suggested above can be realized as follows: First, the system of linear equations (10) is solved and the label λ ı with maximal probability  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/11552253_17">doi:10.1007/11552253_17</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kg2y7e4kdzbrlagmeiofnrzvpq">fatcat:kg2y7e4kdzbrlagmeiofnrzvpq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20070720002828/http://www.informatik.uni-marburg.de/~eyke/publications/ida05a_draft.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/4e/f7/4ef71d99158e84cecf772f851667793b5f4ece20.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/11552253_17"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Label diagnosis through self tuning forweb image search

Jun Wang, Yu-Gang Jiang, Shih-Fu Chang
<span title="">2009</span> <i title="IEEE"> 2009 IEEE Conference on Computer Vision and Pattern Recognition </i> &nbsp;
Different from other graph based SSL approaches, the proposed method employs a bivariate objective function and iteratively modifies label variables on both labeled and unlabeled samples.  ...  This paper proposes a novel and efficient graph based SSL method with the unique capacity of pruning contradictory labels and inferring new labels through a bidirectional and alternating optimization process  ...  In other words, through each bidirectional gradient decent iteration, we add one most reliable label, and meanwhile remove one least confident label.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cvprw.2009.5206729">doi:10.1109/cvprw.2009.5206729</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rizhebnbhbd5phhzp5axxbodoa">fatcat:rizhebnbhbd5phhzp5axxbodoa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20100610203754/http://www.ee.columbia.edu/ln/dvmm/publications/09/ldst.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ee/0e/ee0e4fbf74a41a878c8467c440b8b8b5807b178f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cvprw.2009.5206729"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Label diagnosis through self tuning for web image search

Jun Wang, Yu-Gang Jiang, Shih-Fu Chang
<span title="">2009</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ilwxppn4d5hizekyd3ndvy2mii" style="color: black;">2009 IEEE Conference on Computer Vision and Pattern Recognition</a> </i> &nbsp;
Different from other graph based SSL approaches, the proposed method employs a bivariate objective function and iteratively modifies label variables on both labeled and unlabeled samples.  ...  This paper proposes a novel and efficient graph based SSL method with the unique capacity of pruning contradictory labels and inferring new labels through a bidirectional and alternating optimization process  ...  In other words, through each bidirectional gradient decent iteration, we add one most reliable label, and meanwhile remove one least confident label.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cvpr.2009.5206729">doi:10.1109/cvpr.2009.5206729</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/cvpr/WangJC09.html">dblp:conf/cvpr/WangJC09</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xonuxccg3bavnaa6z3zceqoqne">fatcat:xonuxccg3bavnaa6z3zceqoqne</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20100610203754/http://www.ee.columbia.edu/ln/dvmm/publications/09/ldst.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ee/0e/ee0e4fbf74a41a878c8467c440b8b8b5807b178f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cvpr.2009.5206729"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Determining Cluster Boundaries Using Particle Swarm Optimization

Anurag Sharma, Christian W. Omlin
<span title="2008-10-20">2008</span> <i title="Zenodo"> Zenodo </i> &nbsp;
However, interpretation through visual inspection is prone to errors and can be very tedious.  ...  PSO algorithm utilizes U-matrix of SOMs to determine cluster boundaries; the results of this novel automatic method correspond well to boundary detection through visual inspection of code vectors and k-means  ...  Now for each iteration of PSO: 2) Adjust ranks: PSO generates particles' positions (sequence/array of numbers) and changes their positions by picking 2 indices and swapping them.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.1076549">doi:10.5281/zenodo.1076549</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2gilyy4xajfypilb37qzndr6ae">fatcat:2gilyy4xajfypilb37qzndr6ae</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201225113356/https://zenodo.org/record/1076550/files/11050.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/87/d6/87d67757e9d7bdc2a3e5c5bc45952878195a47ee.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.1076549"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> zenodo.org </button> </a>

One-Class Multiple Instance Learning via Robust PCA for Common Object Discovery [chapter]

Xinggang Wang, Zhengdong Zhang, Yi Ma, Xiang Bai, Wenyu Liu, Zhuowen Tu
<span title="">2013</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
In this paper, we propose an algorithm using the robust PCA (RPCA) [1] in a iterative way to perform simultaneous common object discovery and model learning under a one-class multiple instance learning  ...  We show the advantage of our method on common object discovery and model learning, which needs no fine/coarse alignment in the input data; in addition, it achieves comparable results with standard two-class  ...  Acknowledgement: The work was supported by NSF CAREER award IIS-0844566, NSF award IIS-1216528, and by the National Natural Science Foundation of China (NSFC) Grants 60903096, 61173120 and 61222308.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-37331-2_19">doi:10.1007/978-3-642-37331-2_19</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/f7vrcjczszewlnmgdh7ywlnqe4">fatcat:f7vrcjczszewlnmgdh7ywlnqe4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20150830071440/http://mc.eistar.net:80/~xwang/pubs/accv12_oneclassMIL.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/6a/03/6a0368b4e132f4aa3bbdeada8d894396f201358a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-37331-2_19"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

NoiseRank: Unsupervised Label Noise Reduction with Dependence Models [article]

Karishma Sharma, Pinar Donmez, Enming Luo, Yan Liu, I. Zeki Yalniz
<span title="2020-03-15">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Existing approaches that detect and remove label noise generally rely on some form of supervision, which is not scalable and error-prone.  ...  We construct a dependence model to estimate the posterior probability of an instance being incorrectly labeled given the dataset, and rank instances based on their estimated probabilities.  ...  On Food101-N the estimated noise is 19.66% and the avg error rate of iterative NoiseRank and DRAE are comparable.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2003.06729v1">arXiv:2003.06729v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3ziauerfuzagpcor4n4gmanu4u">fatcat:3ziauerfuzagpcor4n4gmanu4u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200929211647/https://arxiv.org/pdf/2003.06729v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/27/54/27542f6cfed6ceda12c924588d4e03171c94f41c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2003.06729v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Optimizing segment label boundaries for statistical speech synthesis

Alan W. Black, John Kominek
<span title="">2009</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rc5jnc4ldvhs3dswicq5wk3vsq" style="color: black;">2009 IEEE International Conference on Acoustics, Speech and Signal Processing</a> </i> &nbsp;
This paper introduces a new optimization technique for moving segment labels (phone and subphonetic) to optimize statistical parametric speech synthesis models.  ...  The choice of objective measures is investigated thoroughly and listening tests show the results to significantly improve the quality of the generated speech equivalent to increasing the database size  ...  Although some labels move back and forth every iteration, many move only (or almost only) in one direction.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icassp.2009.4960451">doi:10.1109/icassp.2009.4960451</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icassp/BlackK09.html">dblp:conf/icassp/BlackK09</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pqmchvvorfczffzklbel4e5nze">fatcat:pqmchvvorfczffzklbel4e5nze</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20110401024045/http://www-2.cs.cmu.edu/~awb/papers/icassp2009/0003785.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/bc/e8/bce835c1e13bea166bf3f08ef45d260479bebf1c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icassp.2009.4960451"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Choice overload in search engine use?

Pawitra Chiravirakul, Stephen J. Payne
<span title="">2014</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4obeqfuqs5gzbos5ah64a7m57a" style="color: black;">Proceedings of the 32nd annual ACM conference on Human factors in computing systems - CHI &#39;14</a> </i> &nbsp;
The results revealed that the choice behaviour was strongly influenced by the ranking of returns, and that choice satisfaction was affected by the number of options and the decision time.  ...  The main results, from the third experiment, showed that large sets of options yielded a positive effect on participants' satisfaction when they made a decision without time limit.  ...  ACKNOWLEDGMENTS We thank all the volunteers, and all publications support and staff, who wrote and provided helpful comments on previous versions of this document.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2556288.2557149">doi:10.1145/2556288.2557149</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/chi/ChiravirakulP14.html">dblp:conf/chi/ChiravirakulP14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bvy5rcapxngklhpwfpscqahxqa">fatcat:bvy5rcapxngklhpwfpscqahxqa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190418003954/https://core.ac.uk/download/pdf/20057482.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ff/b2/ffb2180243821c67a13406211b79aacd4729bf15.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2556288.2557149"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Quality-based model for effective and robust multi-user pay-as-you-go ontology matching1

Isabel F. Cruz, Matteo Palmonari, Francesco Loprete, Cosmin Stroe, Aynaz Taheri, Krzysztof Janowicz, Stefan Schlobach, Stefan Schlobach, Krzysztof Janowicz
<span title="2016-05-27">2016</span> <i title="IOS Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/pcapks3huberdozbvfqowysuly" style="color: black;">Semantic Web Journal</a> </i> &nbsp;
We study extensively the effectiveness and robustness of our approach as several of these parameters change, namely the error and revalidation rates, as a function of the number of iterations, to provide  ...  of possible user errors, and the third is that we propagate a user's input on a mapping immediately without first achieving consensus for that mapping.  ...  Acknowledgments This work was supported in part by NSF Awards CCF-1331800, IIS-1213013, IIS-1143926, and IIS-0812258, by a UIC-IPCE Civic Engagement Research Fund Award, and by the EU FP7-ICT-611358 COM-SODE  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3233/sw-150205">doi:10.3233/sw-150205</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2ikiqskyyfaxln5quptekvnvwq">fatcat:2ikiqskyyfaxln5quptekvnvwq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170705132935/http://www.semantic-web-journal.net/system/files/swj893.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b5/80/b58081665fa1a3c6d5c7812c8da428c8eadfaca3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3233/sw-150205"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

On the Stratification of Multi-label Data [chapter]

Konstantinos Sechidis, Grigorios Tsoumakas, Ioannis Vlahavas
<span title="">2011</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
It considers two stratification methods for multi-label data and empirically compares them along with random sampling on a number of datasets and based on a number of evaluation criteria.  ...  In single-label classification tasks, groups are differentiated based on the value of the target variable.  ...  at least one label with zero positive examples (FZ), and b) the number of fold-label pairs with zero positive examples (FLZ).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-23808-6_10">doi:10.1007/978-3-642-23808-6_10</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/67rmrxaau5gx7mpiuudj7wadee">fatcat:67rmrxaau5gx7mpiuudj7wadee</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190308120404/http://pdfs.semanticscholar.org/f264/e384b5641d64ca4a0c06ba640ebb4f1ac6d3.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f2/64/f264e384b5641d64ca4a0c06ba640ebb4f1ac6d3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-23808-6_10"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Learning to rank with multiple objective functions

Krysta M. Svore, Maksims N. Volkovs, Christopher J.C. Burges
<span title="">2011</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s4hirppq3jalbopssw22crbwwa" style="color: black;">Proceedings of the 20th international conference on World wide web - WWW &#39;11</a> </i> &nbsp;
but later during training, it becomes more desirable to concentrate on correcting the top few documents for each query.  ...  Second, we note that the learning-to-rank problem can itself be viewed as changing as the ranking model learns: for example, early in learning, adjusting the rank of all documents can be advantageous,  ...  3 rank positions throughout the 500 learning iterations, averaged across all training queries.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1963405.1963459">doi:10.1145/1963405.1963459</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/www/SvoreVB11.html">dblp:conf/www/SvoreVB11</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tcyqatsayfcw5emmchcrntjluq">fatcat:tcyqatsayfcw5emmchcrntjluq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170810024328/http://wwwconference.org/proceedings/www2011/proceedings/p367.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/eb/93/eb931c10646ea26c5af11ef73c07bdd22959bbce.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1963405.1963459"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Pay-As-You-Go Multi-user Feedback Model for Ontology Matching [chapter]

Isabel F. Cruz, Francesco Loprete, Matteo Palmonari, Cosmin Stroe, Aynaz Taheri
<span title="">2014</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
We study extensively the effectiveness and robustness of our approach as several of these parameters change, namely the error and revalidation rates, as a function of the number of iterations, to provide  ...  than once-revalidation-because of possible user errors, and the immediate propagation of the user input on a mapping without first achieving consensus for that mapping.  ...  Acknowledgments This work was supported in part by NSF Awards CCF-1331800, IIS-1213013, IIS-1143926, and IIS-0812258, by a UIC-IPCE Civic Engagement Research Fund Award, and by the EU FP7-ICT-611358 COM-SODE  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-13704-9_7">doi:10.1007/978-3-319-13704-9_7</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6dywymht6vbkjjrmlr2hcomn2q">fatcat:6dywymht6vbkjjrmlr2hcomn2q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170705132436/http://www.semantic-web-journal.net/system/files/swj761.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/61/ab/61ab1f4cd2a6c6b4514b7a96f437a7903ff77efe.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-13704-9_7"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Parsimonious Mixed-Effects HodgeRank for Crowdsourced Preference Aggregation [article]

Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Yuan Yao
<span title="2016-07-12">2016</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
HodgeRank has been successfully applied to subjective quality evaluation of multimedia and resolves pairwise crowdsourced ranking data into a global consensus ranking and cyclic conflicts of interests.  ...  (i.e. smaller test error) compared with HodgeRank due to its parsimonious property.  ...  On the other hand, annotator's position bias is a helpful tool to monitor the quality of his/her voting data, through the mixing behavior that the annotator simply clicks one side of the pair in comparisons  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1607.03401v1">arXiv:1607.03401v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sj37hssib5e7lak3g45ohv7l4a">fatcat:sj37hssib5e7lak3g45ohv7l4a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191022204424/https://arxiv.org/pdf/1607.03401v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/44/04/4404670afe6402faf61ec6867324047dd22282fd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1607.03401v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>
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