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    CACM
    2011
    120views more  CACM 2011»
    The sequence memoizer
    12 years 11 months ago
    The sequence memoizer
    Download  www.stat.columbia.edu
    We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
    Frank Wood, Jan Gasthaus, Cédric Archambeau...
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    ICML
    2009
    IEEE
    141views Machine Learning» more  ICML 2009»
    A stochastic memoizer for sequence data
    14 years 5 months ago
    A stochastic memoizer for sequence data
    Download  www.gatsby.ucl.ac.uk
    We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
    Frank Wood, Cédric Archambeau, Jan Gasthaus...
    claim paper
    Read More »
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