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With the advent of high-dimensional stored big data and streaming data, suddenly machine learning on a very large scale has become a critical need. Such machine learning should be extremely

With the advent of high-dimensional stored big data and streaming data, suddenly machine learning on a very large scale has become a critical need. Such machine learning should be extremely fast, should scale up easily with volume and dimension, should be able to learn from streaming data, should automatically perform dimension reduction for high-dimensional data, and should be deployable on hardware. Neural networks are well positioned to address these challenges of large scale machine learning.

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    Date Created
    • 2015-08-10
    Resource Type
  • Text
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    Identifier
    • Digital object identifier: 10.1016/j.procs.2015.07.311
    • Identifier Type
      International standard serial number
      Identifier Value
      1877-0509

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    Roy, A. (2015). A Classification Algorithm for High-dimensional Data. Procedia Computer Science, 53, 345-355. doi:10.1016/j.procs.2015.07.311

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