Computational Intelligence

Programmableweb

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  • Computational Intelligence
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

    Context: Multiple types of processing units (e.g., CPUs, GPUs and FPGAs) can be used jointly to achieve better performance in computational systems. However, these units are built with fundamentally different characteristics and demand attention especially towards software deployment. 

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  • Computational Intelligence
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

     # of original news:30;# of candidate news:25899;# of reprinted news (no source label):4234 (537)

     

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  • Computational Intelligence
  • Last Updated On: 
    Sun, 11/18/2018 - 22:57

    The whole data set will be published after the acceptance of our paper via the same url as shown in the paper.

     

    When using PackageRank software to analyze our data set, please do not change the name of the .net files.

     

    The .net file has the following format:

    Node count: *Vertices count

     

    Node List:

        number "node name"

    EX:   1    "org.apache.tools.ant.taskdefs.optional.sitraka"

     

    Arc List:

    node1 node2 weight

    EX: 1 2 3

    Meaning: from node 1 to node 2 with weight 3

     

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  • Computational Intelligence
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

    Computational modelling of metabolic processes has proven to be a useful approach to formulate our knowledge and improve our understanding of core biochemical systems that are crucial to maintain cellular functions. Recently, it has become evident that metabolism is not only responsible for generating the required energy and controlling the abundance of metabolites within a cell, but also has an important role in and influence on cellular fate specification.

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  • Computational Intelligence
  • Last Updated On: 
    Tue, 11/13/2018 - 10:56

    We provide results of "Robust Visual Tracking Based on Adaptive Extraction and Enhancement of Correlation Filter" on OTB2015 dataset, including the results of proposed tracker with HOG, HOGCN, and deep CNN features.

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  • Computational Intelligence
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

    Vibration data collected from handpump handles in Kwale, Kenya.

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  • Computational Intelligence
  • Last Updated On: 
    Mon, 10/08/2018 - 12:39

    800x600

    Normal
    0

    7.8 磅
    0
    2

    false
    false
    false

    EN-US
    ZH-CN
    X-NONE

    MicrosoftInternetExplorer4

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  • Computational Intelligence
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

    D U C 2 0 0 2 dataset (https://www-nlpir.nist.gov/projects/duc/guidelines/2002.html) processed through doc2vec (https://github.com/jhlau/doc2vec) This dataset includes the documents embeddings of the full DUC 2002 in the following configurations:

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  • Computational Intelligence
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

    Our dataset includes three parts: MNIST-rot,  MNIST-scale, and MNIST-rand. MNIST-rot is generated by randomly rotating each sample in the MNIST testing dataset in $[0,2\pi]$. We generated MNIST-scale by randomly scaling the ratio of the area occupied by the symbol over that of the entire image by a factor in $[0.5,1]$, and generated MNIST-rand by scaling and rotating images in MNIST testing dataset simultaneously.

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  • Computational Intelligence
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

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