Publications: Recent submissions

Now showing items 133-135 of 160

    • 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, ...

    • A Nonparametric Bayesian Approach to Uncovering Rat Hippocampal Population Codes During Spatial Navigation 

      Linderman, Scott W.; Johnson, Matthew J.; Wilson, Matthew A.; Chen, Zhe (Center for Brains, Minds and Machines (CBMM), arXiv, 2014-12-01)
      Rodent hippocampal population codes represent important spatial information about the environment during navigation. Several computational methods have been developed to uncover the neural representation of spatial topology ...

    • Representation Learning in Sensory Cortex: a theory 

      Anselmi, Fabio; Poggio, Tomaso (Center for Brains, Minds and Machines (CBMM), 2014-11-14)
      We review and apply a computational theory of the feedforward path of the ventral stream in visual cortex based on the hypothesis that its main function is the encoding of invariant representations of images. A key ...