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ORCIDMachine Learning, Volume 95
Volume 95, Number 1, April 2014
- Cynthia Rudin, Kiri L. Wagstaff
:
Machine learning for science and society. 1-9 - Zhidong Li, Bang Zhang, Yang Wang, Fang Chen, Ronnie Taib, Vicky Whiffin, Yi Wang:
Water pipe condition assessment: a hierarchical beta process approach for sparse incident data. 11-26 - Amy McGovern, David John Gagne II, John K. Williams, Rodger A. Brown, Jeffrey B. Basara:
Enhancing understanding and improving prediction of severe weather through spatiotemporal relational learning. 27-50 - John K. Williams:
Using random forests to diagnose aviation turbulence. 51-70 - Danxia Kong, Maytal Saar-Tsechansky:
Collaborative information acquisition for data-driven decisions. 71-86 - Aditya Krishna Menon, Xiaoqian Jiang, Jihoon Kim, Jaideep Vaidya, Lucila Ohno-Machado:
Detecting inappropriate access to electronic health records using collaborative filtering. 87-101 - Claudia Perlich, Brian Dalessandro, Troy Raeder, Ori Stitelman, Foster J. Provost:
Machine learning for targeted display advertising: transfer learning in action. 103-127 - Luiza Antonie, Kris Inwood, Daniel J. Lizotte, J. Andrew Ross:
Tracking people over time in 19th century Canada for longitudinal analysis. 129-146
Volume 95, Number 2, May 2014
- Shaobo Lin, Xia Liu, Yuanhua Rong, Zongben Xu:
Almost optimal estimates for approximation and learning by radial basis function networks. 147-164 - Filipe Rodrigues, Francisco C. Pereira, Bernardete Ribeiro:
Sequence labeling with multiple annotators. 165-181 - Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Shenghuo Zhu:
Regret bounded by gradual variation for online convex optimization. 183-223 - Michael R. Smith, Tony R. Martinez, Christophe G. Giraud-Carrier:
An instance level analysis of data complexity. 225-256
Volume 95, Number 3, June 2014
- Winter A. Mason, Jennifer Wortman Vaughan, Hanna M. Wallach:
Computational social science and social computing. 257-260 - Brandon M. Turner, Mark Steyvers, Edgar C. Merkle, David V. Budescu, Thomas S. Wallsten:
Forecast aggregation via recalibration. 261-289 - Yan Yan, Rómer Rosales, Glenn Fung, Subramanian Ramanathan, Jennifer G. Dy:
Learning from multiple annotators with varying expertise. 291-327 - Vladimir Ouzienko, Zoran Obradovic:
Imputation of missing links and attributes in longitudinal social surveys. 329-356 - Michal Kosinski, Yoram Bachrach, Pushmeet Kohli, David Stillwell, Thore Graepel:
Manifestations of user personality in website choice and behaviour on online social networks. 357-380 - Viet-An Nguyen, Jordan L. Boyd-Graber, Philip Resnik, Deborah A. Cai, Jennifer E. Midberry, Yuanxin Wang:
Modeling topic control to detect influence in conversations using nonparametric topic models. 381-421 - Yuening Hu, Jordan L. Boyd-Graber, Brianna Satinoff, Alison Smith:
Interactive topic modeling. 423-469
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