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    MOBISYS
    2010
    ACM
    259views Computer Networks» more  MOBISYS 2010»
    Darwin phones: the evolution of sensing and inference on mobile phones
    13 years 10 months ago
    Darwin phones: the evolution of sensing and inference on mobile phones
    Download  www.cs.dartmouth.edu
    We present Darwin, an enabling technology for mobile phone sensing that combines collaborative sensing and classification techniques to reason about human behavior and context on ...
    Emiliano Miluzzo, Cory Cornelius, Ashwin Ramaswamy...
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    AAAI
    2006
    144views Intelligent Agents» more  AAAI 2006»
    Overcoming the Brittleness Bottleneck using Wikipedia: Enhancing Text Categorization with Encyclopedic Knowledge
    13 years 9 months ago
    Overcoming the Brittleness Bottleneck using Wikipedia: Enhancing Text Categorization with Encyclopedic Knowledge
    Download  www.cs.technion.ac.il
    When humans approach the task of text categorization, they interpret the specific wording of the document in the much larger context of their background knowledge and experience. ...
    Evgeniy Gabrilovich, Shaul Markovitch
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    FOIS
    2006
    116views Information Technology» more  FOIS 2006»
    A Dynamic Theory of Ontology
    13 years 9 months ago
    A Dynamic Theory of Ontology
    Download  www.jfsowa.com
    Natural languages are easy to learn by infants, they can express any thought that any adult might ever conceive, and they accommodate the limitations of human breathing rates and s...
    John F. Sowa
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    ACL
    1998
    98views Computational Linguistics» more  ACL 1998»
    Locating Noun Phrases with Finite State Transducers
    13 years 9 months ago
    Locating Noun Phrases with Finite State Transducers
    Download  www.aclweb.org
    We present a method for constructing, maintaining and consulting a database of proper nouns. We describe noun phrases composed of a proper noun and/or a description of a human occ...
    Jean Senellart
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    NIPS
    1998
    184views Information Technology» more  NIPS 1998»
    Facial Memory Is Kernel Density Estimation (Almost)
    13 years 9 months ago
    Facial Memory Is Kernel Density Estimation (Almost)
    Download  www.cs.ait.ac.th
    We compare the ability of three exemplar-based memory models, each using three different face stimulus representations, to account for the probability a human subject responded &q...
    Matthew N. Dailey, Garrison W. Cottrell, Thomas A....
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