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Cuttle: Enabling Cross-Column Compression in Distributed Column Stores

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  1. Chapter and Conference Paper

    Discriminative Interpolation for Classification of Functional Data

    The modus operandi for machine learning is to represent data as feature vectors and then proceed with training algorithms that seek to optimally partition the feature space

    Rana Haber, Anand Rangarajan in Machine Learning and Knowledge Discovery i… (2015)

  2. Chapter and Conference Paper

    Adaptive Parallel/Serial Sampling Mechanisms for Particle Filtering in Dynamic Bayesian Networks

    Monitoring the variables of real world dynamical systems is a difficult task due to their inherent complexity and uncertainty. Particle Filters (PF) perform that task, yielding probability distribution over th...

    Eva Besada-Portas, Sergey M. Plis in Machine Learning and Knowledge Discovery i… (2010)