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    ICONIP
    2007
    142views Information Technology» more  ICONIP 2007»
    Adaptive Spiking Neural Networks for Audiovisual Pattern Recognition
    13 years 10 months ago
    Adaptive Spiking Neural Networks for Audiovisual Pattern Recognition
    Download  ii.fmph.uniba.sk
    Abstract. The paper describes the integration of brain-inspired systems to perform audiovisual pattern recognition tasks. Individual sensory pathways as well as the integrative mod...
    Simei Gomes Wysoski, Lubica Benuskova, Nikola Kasa...
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    CCS
    2004
    ACM
    93views Security Privacy» more  CCS 2004»
    Lessons learned using alloy to formally specify MLS-PCA trusted security architecture
    14 years 1 months ago
    Lessons learned using alloy to formally specify MLS-PCA trusted security architecture
    Download  alloy.mit.edu
    In order to solve future Multi Level Security (MLS) problems, we have developed a solution based on the DARPA Polymorphous Computing Architecture (PCA). MLS-PCA uses a novel distr...
    Brant Hashii
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    ACL
    1998
    128views Computational Linguistics» more  ACL 1998»
    A Connectionist Architecture for Learning to Parse
    13 years 10 months ago
    A Connectionist Architecture for Learning to Parse
    Download  www.aclweb.org
    We present a connectionist architecture and demonstrate that it can learn syntactic parsing from a corpus of parsed text. The architecture can represent syntactic constituents, an...
    James Henderson, Peter Lane
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    GECCO
    2007
    Springer
    182views Optimization» more  GECCO 2007»
    Generating large-scale neural networks through discovering geometric regularities
    14 years 2 months ago
    Generating large-scale neural networks through discovering geometric regularities
    Download  eplex.cs.ucf.edu
    Connectivity patterns in biological brains exhibit many repeating motifs. This repetition mirrors inherent geometric regularities in the physical world. For example, stimuli that ...
    Jason Gauci, Kenneth O. Stanley
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    BIOCOMP
    2006
    120views Bioinformatics» more  BIOCOMP 2006»
    Learning Genetic and Gene Bayesian Networks with Hidden Variables: Bilayer Verification Algorithm
    13 years 10 months ago
    Learning Genetic and Gene Bayesian Networks with Hidden Variables: Bilayer Verification Algorithm
    Download  ww1.ucmss.com
    To improve the recovery of gene-gene and marker-gene (eQTL) interaction networks from microarray and genetic data, we propose a new procedure for learning Bayesian networks. This a...
    Jason E. Aten
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