Querying Probabilistic Preferences in Databases
暂无分享,去创建一个
Julia Stoyanovich | Benny Kimelfeld | Batya Kenig | Haoyue Ping | Julia Stoyanovich | B. Kimelfeld | Batya Kenig | Haoyue Ping
[1] Gail Mcelroy,et al. Candidate Gender and Voter Choice: Analysis from a Multimember Preferential Voting System , 2010 .
[2] M. Fligner,et al. Distance Based Ranking Models , 1986 .
[3] Dan Suciu,et al. Efficient query evaluation on probabilistic databases , 2004, The VLDB Journal.
[4] Venkatesh Saligrama,et al. Learning Mixed Membership Mallows Models from Pairwise Comparisons , 2015, ArXiv.
[5] Bassem A. Hassan,et al. Gene prioritization through genomic data fusion , 2006, Nature Biotechnology.
[6] J. Marden. Analyzing and Modeling Rank Data , 1996 .
[7] Yi Mao,et al. Non-parametric Modeling of Partially Ranked Data , 2007, NIPS.
[8] Craig Boutilier,et al. Effective sampling and learning for mallows models with pairwise-preference data , 2014, J. Mach. Learn. Res..
[9] Prasoon Goyal,et al. Probabilistic Databases , 2009, Encyclopedia of Database Systems.
[10] A. Pekec,et al. The repeated insertion model for rankings: Missing link between two subset choice models , 2004 .
[11] Werner Kießling,et al. Foundations of Preferences in Database Systems , 2002, VLDB.
[12] Sumit Chopra,et al. Two of a kind or the ratings game? Adaptive pairwise preferences and latent factor models , 2010, 2010 IEEE International Conference on Data Mining.
[13] Peter Winkler,et al. Counting linear extensions is #P-complete , 1991, STOC '91.
[14] I. C. Gormley,et al. A mixture of experts model for rank data with applications in election studies , 2008, 0901.4203.
[15] Sreenivas Gollapudi,et al. Ranking mechanisms in twitter-like forums , 2010, WSDM '10.
[16] Shotaro Akaho,et al. Supervised ordering by regression combined with Thurstone’s model , 2006, Artificial Intelligence Review.
[17] Avrim Blum,et al. Learning Mixtures of Ranking Models , 2014, NIPS.
[18] Thomas Lukasiewicz,et al. Probabilistic Models over Weighted Orderings: Fixed-Parameter Tractable Variable Elimination , 2016, KR.
[19] Joshua M. Stuart,et al. A Gene-Coexpression Network for Global Discovery of Conserved Genetic Modules , 2003, Science.
[20] Guy Van den Broeck,et al. Tractable Learning for Structured Probability Spaces: A Case Study in Learning Preference Distributions , 2015, IJCAI.
[21] Mitsunori Ogihara,et al. Counting Classes are at Least as Hard as the Polynomial-Time Hierarchy , 1992, SIAM J. Comput..
[22] Julia Stoyanovich,et al. Analyzing Crowd Rankings , 2015, WebDB.
[23] Joachim M. Buhmann,et al. Cluster analysis of heterogeneous rank data , 2007, ICML '07.
[24] Sven Laur,et al. Robust rank aggregation for gene list integration and meta-analysis , 2012, Bioinform..
[25] Thomas Brendan Murphy,et al. A Latent Space Model for Rank Data , 2006, SNA@ICML.
[26] John D. Lafferty,et al. Cranking: Combining Rankings Using Conditional Probability Models on Permutations , 2002, ICML.
[27] Julia Stoyanovich,et al. A System for Management and Analysis of Preference Data , 2014, Proc. VLDB Endow..
[28] Marina Meila,et al. Recursive Inversion Models for Permutations , 2014, NIPS.
[29] Ashish Kapoor,et al. Riffled Independence for Efficient Inference with Partial Rankings , 2012, J. Artif. Intell. Res..
[30] C. L. Mallows. NON-NULL RANKING MODELS. I , 1957 .
[31] P. Diaconis. A Generalization of Spectral Analysis with Application to Ranked Data , 1989 .
[32] Georgia Koutrika,et al. PrefDB: Supporting Preferences as First-Class Citizens in Relational Databases , 2014, IEEE Transactions on Knowledge and Data Engineering.
[33] M. Kendall. A NEW MEASURE OF RANK CORRELATION , 1938 .
[34] Julia Stoyanovich,et al. Workload-driven learning of mallows mixtures with pairwise preference data , 2016, WebDB '16.
[35] S. Smale,et al. On a theory of computation and complexity over the real numbers; np-completeness , 1989 .
[36] M. Fligner,et al. Multistage Ranking Models , 1988 .