Now showing items 130-132 of 159

    • Towards a Programmer’s Apprentice (Again) 

      Shrobe, Howard; Katz, Boris; Davis, Randall (Center for Brains, Minds and Machines (CBMM), 2015-04-03)
      Programmers are loathe to interrupt their workflow to document their design rationale, leading to frequent errors when software is modified—often much later and by different programmers. A Pro- grammer’s Assistant could ...
    • On Invariance and Selectivity in Representation Learning 

      Anselmi, Fabio; Rosasco, Lorenzo; Poggio, Tomaso (Center for Brains, Minds and Machines (CBMM), arXiv, 2015-03-23)
      We discuss data representation which can be learned automatically from data, are invariant to transformations, and at the same time selective, in the sense that two points have the same representation only if they are one ...
    • A Review of Relational Machine Learning for Knowledge Graphs 

      Nickel, Maximilian; Murphy, Kevin; Tresp, Volker; Gabrilovich, Evgeniy (Center for Brains, Minds and Machines (CBMM), arXiv, 2015-03-23)
      Relational machine learning studies methods for the statistical analysis of relational, or graph-structured, data. In this paper, we provide a review of how such statistical models can be “trained” on large knowledge graphs, ...