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    TNN
    2010
    234views Management» more  TNN 2010»
    Novel maximum-margin training algorithms for supervised neural networks
    13 years 2 months ago
    Novel maximum-margin training algorithms for supervised neural networks
    Download  webmail.isr.uc.pt
    This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
    Oswaldo Ludwig, Urbano Nunes
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    TSP
    2010
    227views Artificial Intelligence» more  TSP 2010»
    Randomized and distributed self-configuration of wireless networks: two-layer Markov random fields and near-optimality
    13 years 2 months ago
    Randomized and distributed self-configuration of wireless networks: two-layer Markov random fields and near-optimality
    Download  users.ece.gatech.edu
    Abstract--This work studies the near-optimality versus the complexity of distributed configuration management for wireless networks. We first develop a global probabilistic graphic...
    Sung-eok Jeon, Chuanyi Ji
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    TSP
    2010
    175views Artificial Intelligence» more  TSP 2010»
    Optimization and analysis of distributed averaging with short node memory
    13 years 2 months ago
    Optimization and analysis of distributed averaging with short node memory
    Download  www.tsp.ece.mcgill.ca
    Distributed averaging describes a class of network algorithms for the decentralized computation of aggregate statistics. Initially, each node has a scalar data value, and the goal...
    Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
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    TSP
    2010
    184views Artificial Intelligence» more  TSP 2010»
    Bayesian multi-object filtering with amplitude feature likelihood for unknown object SNR
    13 years 2 months ago
    Bayesian multi-object filtering with amplitude feature likelihood for unknown object SNR
    Download  www.ee.uwa.edu.au
    In many tracking scenarios, the amplitude of target returns are stronger than those coming from false alarms. This information can be used to improve the multi-target state estimat...
    Daniel Clark, Branko Ristic, Ba-Ngu Vo, Ba-Tuong V...
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    BIOINFORMATICS
    2011
    197views Artificial Intelligence» more  BIOINFORMATICS 2011»
    All-atom knowledge-based potential for RNA structure prediction and assessment
    13 years 2 months ago
    All-atom knowledge-based potential for RNA structure prediction and assessment
    Download  sgu.bioinfo.cipf.es
    Motivation: Over the recent years, the vision that RNA simply serves as information transfer molecule has dramatically changed. The study of the sequence/structure/function relati...
    Emidio Capriotti, Tomás Norambuena, Marc A....
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