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Publication search results
found 18 matches
- 2016
- Qiong Cao, Zheng-Chu Guo, Yiming Ying:
Generalization bounds for metric and similarity learning. Mach. Learn. 102(1): 115-132 (2016) - Bryan Conroy, Larry J. Eshelman, Cristhian Potes, Minnan Xu-Wilson:
A dynamic ensemble approach to robust classification in the presence of missing data. Mach. Learn. 102(3): 443-463 (2016) - Subhajit Dutta, Anil Kumar Ghosh:
On some transformations of high dimension, low sample size data for nearest neighbor classification. Mach. Learn. 102(1): 57-83 (2016) - Kirill Dyagilev, Suchi Saria:
Learning (predictive) risk scores in the presence of censoring due to interventions. Mach. Learn. 102(3): 323-348 (2016) - Alexander Van Esbroeck, Landon Smith, Zeeshan Syed, Satinder Singh, Zahi N. Karam:
Multi-task seizure detection: addressing intra-patient variation in seizure morphologies. Mach. Learn. 102(3): 309-321 (2016) - Marco Grzegorczyk:
A non-homogeneous dynamic Bayesian network with a hidden Markov model dependency structure among the temporal data points. Mach. Learn. 102(2): 155-207 (2016) - Madian Khabsa, Ahmed K. Elmagarmid, Ihab F. Ilyas, Hossam Hammady, Mourad Ouzzani:
Learning to identify relevant studies for systematic reviews using random forest and external information. Mach. Learn. 102(3): 465-482 (2016) - Konstantin Knauf, Daniel Memmert, Ulf Brefeld:
Spatio-temporal convolution kernels. Mach. Learn. 102(2): 247-273 (2016) - Lili Li, Jiancheng Lv, Zhang Yi:
A non-negative representation learning algorithm for selecting neighbors. Mach. Learn. 102(2): 133-153 (2016) - David Sergio Matusevich, Wellington Cabrera, Carlos Ordonez:
Accelerating a Gibbs sampler for variable selection on genomics data with summarization and variable pre-selection combining an array DBMS and R. Mach. Learn. 102(3): 483-504 (2016) - Marion Neumann, Roman Garnett, Christian Bauckhage, Kristian Kersting:
Propagation kernels: efficient graph kernels from propagated information. Mach. Learn. 102(2): 209-245 (2016) - Tomás Pevný:
Loda: Lightweight on-line detector of anomalies. Mach. Learn. 102(2): 275-304 (2016) - Sohan Seth, Manuel J. A. Eugster:
Probabilistic archetypal analysis. Mach. Learn. 102(1): 85-113 (2016) - William Souillard-Mandar, Randall Davis, Cynthia Rudin, Rhoda Au, David J. Libon, Rodney Swenson, Catherine C. Price, Melissa Lamar, Dana L. Penney:
Learning classification models of cognitive conditions from subtle behaviors in the digital Clock Drawing Test. Mach. Learn. 102(3): 393-441 (2016) - Berk Ustun, Cynthia Rudin:
Supersparse linear integer models for optimized medical scoring systems. Mach. Learn. 102(3): 349-391 (2016) - Jenna Wiens, Byron C. Wallace:
Editorial: special issue on machine learning for health and medicine. Mach. Learn. 102(3): 305-307 (2016) - Avi Wigderson, Amir Yehudayoff:
Population recovery and partial identification. Mach. Learn. 102(1): 29-56 (2016) - Keisuke Yamazaki:
Asymptotic accuracy of Bayes estimation for latent variables with redundancy. Mach. Learn. 102(1): 1-28 (2016)
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