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    AGI
    2008
    88views Artificial Intelligence» more  AGI 2008»
    Vector Symbolic Architectures: A New Building Material for Artificial General Intelligence
    14 years 11 months ago
    Vector Symbolic Architectures: A New Building Material for Artificial General Intelligence
    Download  www.cs.wlu.edu
    We provide an overview of Vector Symbolic Architectures (VSA), a class of structured associative memory models that offers a number of desirable features for artificial general int...
    Simon D. Levy, Ross Gayler
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    ICAD
    2004
    186views Emerging Technology» more  ICAD 2004»
    A Flexible Framework for Real-Time Sonification with Sonart
    14 years 11 months ago
    A Flexible Framework for Real-Time Sonification with Sonart
    Download  www.icad.org
    We describe significant developments towards a real-time implementation of SonArt, the parameter mapping framework first presented in [1] 1 . Enhancements include the incorporatio...
    Woon Seung Yeo, Jonathan Berger, R. Scott Wilson
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    NETWORKING
    2004
    103views Computer Networks» more  NETWORKING 2004»
    A Geometric Derivation of the Probability of Finding a Relay in Multi-rate Networks
    14 years 11 months ago
    A Geometric Derivation of the Probability of Finding a Relay in Multi-rate Networks
    Download  www.sics.se
    Abstract. Relaying can improve performance of a wireless network, especially when different transmission modes with distance/cost tradeoffs are available. Examples of such modes in...
    Laura Marie Feeney, Daniel Hollos, Martin Kubisch,...
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    NAACL
    1994
    123views Computational Linguistics» more  NAACL 1994»
    Principles of Template Design
    14 years 11 months ago
    Principles of Template Design
    Download  acl.ldc.upenn.edu
    The functionality of systems that extract information from texts can be specified quite simply: the input is a stream of texts and the output is some representation of the informa...
    Jerry R. Hobbs, David J. Israel
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    AMC
    2008
    99views more  AMC 2008»
    Markov chain network training and conservation law approximations: Linking microscopic and macroscopic models for evolution
    14 years 10 months ago
    Markov chain network training and conservation law approximations: Linking microscopic and macroscopic models for evolution
    Download  www.m2netlab.wlu.ca
    In this paper, a general framework for the analysis of a connection between the training of artificial neural networks via the dynamics of Markov chains and the approximation of c...
    Roderick V. N. Melnik
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