A Note on the Behavior of Majority Voting in Multi-Class Domains with Biased Annotators
暂无分享,去创建一个
[1] Iñaki Inza,et al. Measuring the class-imbalance extent of multi-class problems , 2017, Pattern Recognit. Lett..
[2] Xindong Wu,et al. Multi-Class Ground Truth Inference in Crowdsourcing with Clustering , 2016, IEEE Transactions on Knowledge and Data Engineering.
[3] Panagiotis G. Ipeirotis,et al. Get another label? improving data quality and data mining using multiple, noisy labelers , 2008, KDD.
[4] Iñaki Inza,et al. Weak supervision and other non-standard classification problems: A taxonomy , 2016, Pattern Recognit. Lett..
[5] Xindong Wu,et al. Learning from crowdsourced labeled data: a survey , 2016, Artificial Intelligence Review.
[6] Brendan T. O'Connor,et al. Cheap and Fast – But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks , 2008, EMNLP.
[7] Gerardo Hermosillo,et al. Learning From Crowds , 2010, J. Mach. Learn. Res..
[8] Ohad Shamir,et al. Vox Populi: Collecting High-Quality Labels from a Crowd , 2009, COLT.
[9] Pietro Perona,et al. The Multidimensional Wisdom of Crowds , 2010, NIPS.
[10] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[11] Xindong Wu,et al. Imbalanced Multiple Noisy Labeling , 2015, IEEE Transactions on Knowledge and Data Engineering.
[12] Gianluca Demartini,et al. ZenCrowd: leveraging probabilistic reasoning and crowdsourcing techniques for large-scale entity linking , 2012, WWW.
[13] Francisco Herrera,et al. A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[14] Iñaki Inza,et al. Multidimensional Learning from Crowds: Usefulness and Application of Expertise Detection , 2015, Int. J. Intell. Syst..
[15] Xin Yao,et al. Multiclass Imbalance Problems: Analysis and Potential Solutions , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[16] A. P. Dawid,et al. Maximum Likelihood Estimation of Observer Error‐Rates Using the EM Algorithm , 1979 .