Machine Learning, Volume 102

Volume 102, Number 1, January 2016

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  Keisuke Yamazaki:
  Asymptotic accuracy of Bayes estimation for latent variables with redundancy. 1-28
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  Avi Wigderson, Amir Yehudayoff:
  Population recovery and partial identification. 29-56
• 
  Subhajit Dutta, Anil K. 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

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  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

Special Issue on Machine Learning for Health and Medicine; Guest Editors: Jenna Wiens and Byron C. Wallace

• 
  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 P. 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