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Cuttle: Enabling Cross-Column Compression in Distributed Column Stores

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  1. Chapter and Conference Paper

    Parallel Subspace Sampling for Particle Filtering in Dynamic Bayesian Networks

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

    Eva Besada-Portas, Sergey M. Plis in Machine Learning and Knowledge Discovery i… (2009)

  2. Chapter and Conference Paper

    Leveraging Higher Order Dependencies between Features for Text Classification

    Traditional machine learning methods only consider relationships between feature values within individual data instances while disregarding the dependencies that link features across instances. In this work, w...

    Murat C. Ganiz, Nikita I. Lytkin in Machine Learning and Knowledge Discovery i… (2009)

  3. Chapter and Conference Paper

    Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams

    In a typical data stream classification task, it is assumed that the total number of classes are fixed. This assumption may not be valid in a real streaming environment, where new classes may evolve. Tradition...

    Mohammad M. Masud, **g Gao, Latifur Khan in Machine Learning and Knowledge Discovery i… (2009)