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    ATAL
    2003
    Springer
    136views Intelligent Agents» more  ATAL 2003»
    An analysis and application of distributed constraint satisfaction and optimization algorithms in sensor networks
    16 years 9 days ago
    An analysis and application of distributed constraint satisfaction and optimization algorithms in sensor networks
    Download  www.sis.uncc.edu
    Weixiong Zhang, Zhao Xing, Guandong Wang, Lars Wit...
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    IEICET
    2006
    53views more  IEICET 2006»
    Distributed Hierarchical Multicast Tree Algorithms for Application Layer Mesh Networks
    15 years 7 months ago
    Distributed Hierarchical Multicast Tree Algorithms for Application Layer Mesh Networks
    Download  www.glyndwr.ac.uk
    Weijia Jia, Wanqing Tu, Jie Wu
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    NCA
    2006
    IEEE
    129views Computer Networks» more  NCA 2006»
    Evolutionary training of hardware realizable multilayer perceptrons
    15 years 7 months ago
    Evolutionary training of hardware realizable multilayer perceptrons
    Download  www.dcs.bbk.ac.uk
    The use of multilayer perceptrons (MLP) with threshold functions (binary step function activations) greatly reduces the complexity of the hardware implementation of neural networks...
    Vassilis P. Plagianakos, George D. Magoulas, Micha...
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    BIOADIT
    2004
    Springer
    137views Information Technology» more  BIOADIT 2004»
    Biologically Plausible Speech Recognition with LSTM Neural Nets
    15 years 10 months ago
    Biologically Plausible Speech Recognition with LSTM Neural Nets
    Download  www.informatik.uni-ulm.de
    Abstract. Long Short-Term Memory (LSTM) recurrent neural networks (RNNs) are local in space and time and closely related to a biological model of memory in the prefrontal cortex. N...
    Alex Graves, Douglas Eck, Nicole Beringer, Jü...
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    AMC
    2005
    117views more  AMC 2005»
    Teleonomic entropy: measuring the phase-space of end-directed systems
    15 years 7 months ago
    Teleonomic entropy: measuring the phase-space of end-directed systems
    Download  espace.library.uq.edu.au
    We introduce a novel way of measuring the entropy of a set of values undergoing changes. Such a measure becomes useful when analyzing the temporal development of an algorithm desi...
    Alexander Pudmenzky
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