Now showing items 1-2 of 2

    • Random indexing revisited 

      QasemiZadeh, Behrang (Springer, 2015-05-17)
      Random indexing is a method for constructing vector spaces at a reduced dimensionality. Previously, the method has been proposed using Kanerva's sparse distributed memory model. Although intuitively plausible, this ...
    • Random Manhattan Integer Indexing: Incremental L1 Normed Vector Space Construction 

      QasemiZadeh, Behrang; Handschuh, Siegfried (2014)
      Vector space models (VSMs) are mathematically well-defined frameworks that have been widely used in the distributional approaches to semantics. In VSMs, high-dimensional vectors represent linguistic entities. In an ...