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ORCIDMachine Learning, Volume 102
Volume 102, Number 1, January 2016
- Keisuke Yamazaki:
Asymptotic accuracy of Bayes estimation for latent variables with redundancy. 1-28 - Avi Wigderson, Amir Yehudayoff:
Population recovery and partial identification. 29-56 - Subhajit Dutta, Anil Kumar Ghosh:
On some transformations of high dimension, low sample size data for nearest neighbor classification. 57-83 - Sohan Seth, Manuel J. A. Eugster:
Probabilistic archetypal analysis. 85-113 - Qiong Cao, Zheng-Chu Guo, Yiming Ying:
Generalization bounds for metric and similarity learning. 115-132
Volume 102, Number 2, February 2016
- Lili Li, Jiancheng Lv, Zhang Yi:
A non-negative representation learning algorithm for selecting neighbors. 133-153 - Marco Grzegorczyk:
A non-homogeneous dynamic Bayesian network with a hidden Markov model dependency structure among the temporal data points. 155-207 - Marion Neumann, Roman Garnett, Christian Bauckhage
, Kristian Kersting:
Propagation kernels: efficient graph kernels from propagated information. 209-245 - Konstantin Knauf, Daniel Memmert, Ulf Brefeld:
Spatio-temporal convolution kernels. 247-273 - Tomás Pevný:
Loda: Lightweight on-line detector of anomalies. 275-304
Volume 102, Number 3, March 2016
- Jenna Wiens, Byron C. Wallace:
Editorial: special issue on machine learning for health and medicine. 305-307 - Alexander Van Esbroeck, Landon Smith, Zeeshan Syed, Satinder Singh, Zahi N. Karam:
Multi-task seizure detection: addressing intra-patient variation in seizure morphologies. 309-321 - Kirill Dyagilev, Suchi Saria:
Learning (predictive) risk scores in the presence of censoring due to interventions. 323-348 - Berk Ustun, Cynthia Rudin:
Supersparse linear integer models for optimized medical scoring systems. 349-391 - 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. 393-441 - Bryan Conroy, Larry J. Eshelman, Cristhian Potes, Minnan Xu-Wilson:
A dynamic ensemble approach to robust classification in the presence of missing data. 443-463 - 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. 465-482 - 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. 483-504
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