Active learning with confidence-based answers for crowdsourcing labeling tasks
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Yang Gao | Bo An | Hao Wang | Jinhua Song | Bo An | Yang Gao | Hao Wang | Jinhua Song
[1] Jaime G. Carbonell,et al. Efficiently learning the accuracy of labeling sources for selective sampling , 2009, KDD.
[2] Jitendra Malik,et al. Region-Based Convolutional Networks for Accurate Object Detection and Segmentation , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] Derek Greene,et al. Using Crowdsourcing and Active Learning to Track Sentiment in Online Media , 2010, ECAI.
[4] Rong Jin,et al. Large-scale text categorization by batch mode active learning , 2006, WWW '06.
[5] Victor S. Sheng,et al. Noise filtering to improve data and model quality for crowdsourcing , 2016, Knowl. Based Syst..
[6] Mausam,et al. Re-Active Learning: Active Learning with Relabeling , 2016, AAAI.
[7] William H. Press,et al. Numerical recipes in C++: the art of scientific computing, 2nd Edition (C++ ed., print. is corrected to software version 2.10) , 1994 .
[8] Yu-Pu Yang,et al. A batch-mode active learning SVM method based on semi-supervised clustering , 2015, Intell. Data Anal..
[9] Francisco Cribari-Neto,et al. Improved point and interval estimation for a beta regression model , 2006, Comput. Stat. Data Anal..
[10] Dacheng Tao,et al. Active Learning for Crowdsourcing Using Knowledge Transfer , 2014, AAAI.
[11] Ian H. Witten,et al. Data mining: practical machine learning tools and techniques, 3rd Edition , 1999 .
[12] Jaime G. Carbonell,et al. Proactive learning: cost-sensitive active learning with multiple imperfect oracles , 2008, CIKM '08.
[13] Bartosz Krawczyk,et al. Active and adaptive ensemble learning for online activity recognition from data streams , 2017, Knowl. Based Syst..
[14] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[15] Chien-Ju Ho,et al. Adaptive Task Assignment for Crowdsourced Classification , 2013, ICML.
[16] Purnamrita Sarkar,et al. Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning , 2014, Proc. VLDB Endow..
[17] Ngoc Thanh Nguyen,et al. A combination of active learning and self-learning for named entity recognition on Twitter using conditional random fields , 2017, Knowl. Based Syst..
[18] Klaus Brinker,et al. Incorporating Diversity in Active Learning with Support Vector Machines , 2003, ICML.
[19] W. Hoeffding. Probability Inequalities for sums of Bounded Random Variables , 1963 .
[20] Xi Chen,et al. Statistical Decision Making for Optimal Budget Allocation in Crowd Labeling , 2014, J. Mach. Learn. Res..
[21] Panagiotis G. Ipeirotis,et al. Get another label? improving data quality and data mining using multiple, noisy labelers , 2008, KDD.
[22] Jennifer G. Dy,et al. Active Learning from Crowds , 2011, ICML.
[23] Priyanka Agrawal,et al. Sequential crowdsourced labeling as an epsilon-greedy exploration in a Markov Decision Process , 2014, AISTATS.
[24] Ján Paralic,et al. Active learning enhanced semi-automatic annotation tool for aspect-based sentiment analysis , 2013, 2013 IEEE 11th International Symposium on Intelligent Systems and Informatics (SISY).
[25] Burr Settles,et al. Active Learning Literature Survey , 2009 .
[26] Brendan T. O'Connor,et al. Cheap and Fast – But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks , 2008, EMNLP.
[27] Anthony C. Davison,et al. Bootstrap Methods and Their Application , 1998 .
[28] Bo Du,et al. A batch-mode active learning framework by querying discriminative and representative samples for hyperspectral image classification , 2016, Neurocomputing.
[29] Senén Barro,et al. Do we need hundreds of classifiers to solve real world classification problems? , 2014, J. Mach. Learn. Res..
[30] Gita Reese Sukthankar,et al. Incremental Relabeling for Active Learning with Noisy Crowdsourced Annotations , 2011, 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing.
[31] Joseph G. Davis,et al. User interface design for crowdsourcing systems , 2014, AVI.
[32] Xindong Wu,et al. Active Learning With Imbalanced Multiple Noisy Labeling , 2015, IEEE Transactions on Cybernetics.
[33] Hinrich Schütze,et al. Active Learning with Amazon Mechanical Turk , 2011, EMNLP.
[34] S. T. Buckland,et al. An Introduction to the Bootstrap , 1994 .
[35] Bin Li,et al. A survey on instance selection for active learning , 2012, Knowledge and Information Systems.
[36] Zhi-Hua Zhou,et al. Active Learning from Crowds with Unsure Option , 2015, IJCAI.
[37] Panagiotis G. Ipeirotis,et al. Repeated labeling using multiple noisy labelers , 2012, Data Mining and Knowledge Discovery.
[38] Kun Deng,et al. Active Learning from Multiple Noisy Labelers with Varied Costs , 2010, 2010 IEEE International Conference on Data Mining.
[39] Kamalika Chaudhuri,et al. Active Learning from Weak and Strong Labelers , 2015, NIPS.
[40] S. Ferrari,et al. Beta Regression for Modelling Rates and Proportions , 2004 .