Robust Latent Feature Learning For Incomplete Big Data - Di Wu

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Robust Latent Feature Learning For Incomplete Big Data - Di Wu

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Robust Latent Feature Learning For Incomplete Big Data - Di Wu

$109.00

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Description

Robust Latent Feature Learning For Incomplete Big Data - Di Wu

Incomplete Big Data Are Frequently Encountered In Many Industrial Applications, Such As Recommender Systems, The Internet Of Things, Intelligent Transportation, Cloud Computing, And So On. It Is Of Great Significance To Analyze Them For Mining Rich And Valuable Knowledge And Patterns. Latent Feature Analysis (lfa) Is One Of The Most Popular Representation Learning Methods Tailored For Incomplete Big Data Due To Its High Accuracy, Computational Efficiency, And Ease Of Scalability.
  • Brand: Unbranded
  • Category: Computing & Internet
  • Format: Paperback
  • Language: English
  • Publisher / Label: Springer Nature B.V
  • Author: Di Wu
  • Number of Pages: 128
  • Fruugo ID: 469790692-983745608
  • ISBN: 9789811981395

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  • STANDARD: $33.99 - Delivery between Tue 04 August 2026–Wed 12 August 2026

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