Auswahl der wissenschaftlichen Literatur zum Thema „Incomplete rankings“
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Zeitschriftenartikel zum Thema "Incomplete rankings"
Gyarmati, László, Éva Orbán-Mihálykó, Csaba Mihálykó und Ágnes Vathy-Fogarassy. „Aggregated Rankings of Top Leagues’ Football Teams: Application and Comparison of Different Ranking Methods“. Applied Sciences 13, Nr. 7 (03.04.2023): 4556. http://dx.doi.org/10.3390/app13074556.
Der volle Inhalt der QuelleMoreno-Centeno, Erick, und Adolfo R. Escobedo. „Axiomatic aggregation of incomplete rankings“. IIE Transactions 48, Nr. 6 (02.12.2015): 475–88. http://dx.doi.org/10.1080/0740817x.2015.1109737.
Der volle Inhalt der QuellePedroche, Francisco, und J. Alberto Conejero. „Corrected Evolutive Kendall’s τ Coefficients for Incomplete Rankings with Ties: Application to Case of Spotify Lists“. Mathematics 8, Nr. 10 (18.10.2020): 1828. http://dx.doi.org/10.3390/math8101828.
Der volle Inhalt der QuelleAlvo, M., und P. Cabilio. „Analysis of incomplete blocks for rankings“. Statistics & Probability Letters 29, Nr. 2 (August 1996): 177–84. http://dx.doi.org/10.1016/0167-7152(95)00171-9.
Der volle Inhalt der QuelleCHEN, TING-YU. „NONLINEAR ASSIGNMENT-BASED METHODS FOR INTERVAL-VALUED INTUITIONISTIC FUZZY MULTI-CRITERIA DECISION ANALYSIS WITH INCOMPLETE PREFERENCE INFORMATION“. International Journal of Information Technology & Decision Making 11, Nr. 04 (Juli 2012): 821–55. http://dx.doi.org/10.1142/s0219622012500228.
Der volle Inhalt der QuelleBaklouti, Amir. „Multiple-Attribute Decision Making Based on the Probabilistic Dominance Relationship with Fuzzy Algebras“. Symmetry 15, Nr. 6 (02.06.2023): 1188. http://dx.doi.org/10.3390/sym15061188.
Der volle Inhalt der QuelleAlvo, M., und P. Cabilio. „On the Balanced Incomplete Block Design for Rankings“. Annals of Statistics 19, Nr. 3 (September 1991): 1597–613. http://dx.doi.org/10.1214/aos/1176348264.
Der volle Inhalt der QuelleR. Rink, David. „Balanced incomplete block designs: selected business-related applications and usage caveats“. Innovative Marketing 12, Nr. 1 (27.04.2016): 15–28. http://dx.doi.org/10.21511/im.12(1).2016.02.
Der volle Inhalt der Quellevan Ophem, Hans, Piet Stam und Bernard van Praag. „Multichoice Logit: Modeling Incomplete Preference Rankings of Classical Concerts“. Journal of Business & Economic Statistics 17, Nr. 1 (Januar 1999): 117. http://dx.doi.org/10.2307/1392243.
Der volle Inhalt der QuelleOphem, Hans Vann, Piet Stam und Bernard Van Praag. „Multichoice Logit: Modeling Incomplete Preference Rankings of Classical Concerts“. Journal of Business & Economic Statistics 17, Nr. 1 (Januar 1999): 117–28. http://dx.doi.org/10.1080/07350015.1999.10524801.
Der volle Inhalt der QuelleDissertationen zum Thema "Incomplete rankings"
Sun, Mingxuan. „Visualizing and modeling partial incomplete ranking data“. Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45793.
Der volle Inhalt der QuelleNdungu, Alfred Mungai. „A Nonparametric Test for the Non-Decreasing Alternative in an Incomplete Block Design“. Thesis, North Dakota State University, 2011. https://hdl.handle.net/10365/29772.
Der volle Inhalt der QuelleBücher zum Thema "Incomplete rankings"
Schulz, E. Matthew. Controlling for rater effects when comparing survey items with incomplete Likert data. Iowa City, Iowa: ACT, Inc., 2001.
Den vollen Inhalt der Quelle findenDepot maintenance: Army report provides incomplete assessment of depot-type capabilities : report to the chairman and ranking minority member, Committee on Armed Services, House of Representatives. Washington, D.C. (P.O. Box 37050, Washington 20013): The Office, 1999.
Den vollen Inhalt der Quelle findenHunter, Walt. Forms of a World. Fordham University Press, 2019. http://dx.doi.org/10.5422/fordham/9780823282227.001.0001.
Der volle Inhalt der QuelleBuchteile zum Thema "Incomplete rankings"
Hnatiienko, Hrygorii, Nataliia Tmienova und Alexander Kruglov. „Methods for Determining the Group Ranking of Alternatives for Incomplete Expert Rankings“. In Advances in Intelligent Systems and Computing, 217–26. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58124-4_21.
Der volle Inhalt der QuelleVetschera, Rudolf. „From Incomplete Information to Strict Rankings: Methods to Exploit Probabilistic Preference Information“. In Dynamic Modeling and Econometrics in Economics and Finance, 379–94. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39120-5_21.
Der volle Inhalt der QuelleRendle, Steffen. „Ranking from Incomplete Data“. In Context-Aware Ranking with Factorization Models, 19–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16898-7_3.
Der volle Inhalt der QuelleŁadyżyński, Paweł P., und Przemysław Grzegorzewski. „On Incomplete Label Ranking with IF-sets“. In Strengthening Links Between Data Analysis and Soft Computing, 55–62. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-10765-3_7.
Der volle Inhalt der QuelleSchubert, Johan. „Partial Ranking by Incomplete Pairwise Comparisons Using Preference Subsets“. In Belief Functions: Theory and Applications, 190–98. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11191-9_21.
Der volle Inhalt der Quellevan Bakel, Ruud, Teodor Aleksiev, Daniel Daza, Dimitrios Alivanistos und Michael Cochez. „Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification“. In Lecture Notes in Computer Science, 107–24. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72308-8_8.
Der volle Inhalt der QuelleBusch, Christoph. „From Algorithmic Transparency to Algorithmic Choice: European Perspectives on Recommender Systems and Platform Regulation“. In The International Library of Ethics, Law and Technology, 31–54. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-34804-4_3.
Der volle Inhalt der QuelleKwiesielewicz, Miroslaw, und Ewa van Uden. „Ranking Decision Variants by Subjective Paired Comparisons in Cases with Incomplete Data“. In Computational Science and Its Applications — ICCSA 2003, 208–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44842-x_22.
Der volle Inhalt der QuelleCouso, Inés, und Eyke Hüllermeier. „Statistical Inference for Incomplete Ranking Data: A Comparison of Two Likelihood-Based Estimators“. In Frontiers in Computational Intelligence, 31–46. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67789-7_3.
Der volle Inhalt der QuelleAl-Helali, Baligh, Qi Chen, Bing Xue und Mengjie Zhang. „Genetic Programming for Imputation Predictor Selection and Ranking in Symbolic Regression with High-Dimensional Incomplete Data“. In AI 2019: Advances in Artificial Intelligence, 523–35. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-35288-2_42.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Incomplete rankings"
Gorantla, Sruthi, Amit Deshpande und Anand Louis. „Sampling Ex-Post Group-Fair Rankings“. In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/46.
Der volle Inhalt der QuelleSibony, Eric, Stephan Clemencon und Jeremie Jakubowicz. „Multiresolution analysis of incomplete rankings with applications to prediction“. In 2014 IEEE International Conference on Big Data (Big Data). IEEE, 2014. http://dx.doi.org/10.1109/bigdata.2014.7004361.
Der volle Inhalt der QuelleLorena, Luiz H. N., Antonio A. Chaves, Geraldo R. Mauri und Luiz A. N. Lorena. „An Adaptive Biased Random-key Genetic Algorithm for Rank Aggregation with Ties and Incomplete Rankings“. In 2022 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2022. http://dx.doi.org/10.1109/cec55065.2022.9870203.
Der volle Inhalt der QuelleKırnap, Ömer, Fernando Diaz, Asia Biega, Michael Ekstrand, Ben Carterette und Emine Yilmaz. „Estimation of Fair Ranking Metrics with Incomplete Judgments“. In WWW '21: The Web Conference 2021. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3442381.3450080.
Der volle Inhalt der QuelleLi, Xiang, Ling Feng und Lizhu Zhou. „Contextual ranking of query results with incomplete preferences“. In 2009 Joint Conferences on Pervasive Computing (JCPC). IEEE, 2009. http://dx.doi.org/10.1109/jcpc.2009.5420161.
Der volle Inhalt der QuelleBen Amor, Nahla, Helene Fargier, Régis Sabbadin und Meriem Trabelsi. „Possibilistic Games with Incomplete Information“. In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/214.
Der volle Inhalt der QuelleTerzopoulou, Zoi, und Ulle Endriss. „Aggregating Incomplete Pairwise Preferences by Weight“. In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/84.
Der volle Inhalt der QuelleNiu, Xiang, Lusong Li, Xiaobing Xiong, Daniel Tkach, He Li und Ke Xu. „Performances and Characteristics of DIGRank, Ranking in the Incomplete Networks“. In 2011 IEEE 11th International Conference on Data Mining (ICDM). IEEE, 2011. http://dx.doi.org/10.1109/icdm.2011.117.
Der volle Inhalt der QuelleJian-hua, Dai, Yu Chun-long und Ding Yi. „A ranking method of incomplete matrix based on prospect theory“. In 2013 International Conference on Management Science and Engineering (ICMSE). IEEE, 2013. http://dx.doi.org/10.1109/icmse.2013.6586309.
Der volle Inhalt der QuelleChen, Yuanyuan, Chen Chen und Hanyan Huang. „A Weighted PK Graph Based Ranking Aggregation Method for Incomplete Lists“. In 2023 International Conference on Algorithms, Computing and Data Processing (ACDP). IEEE, 2023. http://dx.doi.org/10.1109/acdp59959.2023.00012.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Incomplete rankings"
Pound, B. G. GRI-99-0000 Gap Analysis of the GRI Research Program on Internal Corrosion. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), Dezember 1999. http://dx.doi.org/10.55274/r0010720.
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