Center for Brains, Minds & Machines: Recent submissions

Now showing items 106-108 of 159

    • Deep vs. shallow networks : An approximation theory perspective 

      Mhaskar, Hrushikesh; Poggio, Tomaso (Center for Brains, Minds and Machines (CBMM), arXiv, 2016-08-12)
      The paper briefly reviews several recent results on hierarchical architectures for learning from examples, that may formally explain the conditions under which Deep Convolutional Neural Networks perform much better in ...

    • The infancy of the human brain 

      Dehaene-Lambertz, G.; Spelke, Elizabeth S. (Center for Brains, Minds and Machines (CBMM), Neuron, 2015-10-07)
      The human infant brain is the only known machine able to master a natural language and develop explicit, symbolic, and communicable systems of knowledge that deliver rich representations of the external world. With the ...

    • Universal Dependencies for Learner English 

      Berzak, Yevgeni; Kenney, Jessica; Spadine, Carolyn; Wang, Jing Xian; Lam, Lucia; e.a. (Center for Brains, Minds and Machines (CBMM), arXiv, 2016-08-01)
      We introduce the Treebank of Learner English (TLE), the first publicly available syntactic treebank for English as a Second Language (ESL). The TLE provides manually annotated POS tags and Universal Dependency (UD) trees ...