dblp: Machine Learning, Volume 102 (original) (raw)

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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
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    Subhajit Dutta, Anil Kumar Ghosh:
    On some transformations of high dimension, low sample size data for nearest neighbor classification. 57-83
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    Sohan Seth, Manuel J. A. Eugster:
    Probabilistic archetypal analysis. 85-113
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    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
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    Marco Grzegorczyk:
    A non-homogeneous dynamic Bayesian network with a hidden Markov model dependency structure among the temporal data points. 155-207
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    Marion Neumann, Roman Garnett, Christian Bauckhage, Kristian Kersting:
    Propagation kernels: efficient graph kernels from propagated information. 209-245
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    Konstantin Knauf, Daniel Memmert, Ulf Brefeld:
    Spatio-temporal convolution kernels. 247-273
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    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

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    Jenna Wiens, Byron C. Wallace:
    Editorial: special issue on machine learning for health and medicine. 305-307
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    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
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    Kirill Dyagilev, Suchi Saria:
    Learning (predictive) risk scores in the presence of censoring due to interventions. 323-348
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    Berk Ustun, Cynthia Rudin:
    Supersparse linear integer models for optimized medical scoring systems. 349-391
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    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
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    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
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    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
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    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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