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"item_title" : "Natural Computing for Unsupervised Learning",
"item_author" : [" Xiangtao Li", "Ka-Chun Wong "],
"item_description" : "Includes advances on unsupervised learning using natural computing techniques Reports on topics in emerging areas such as evolutionary multi-objective unsupervised learning Features natural computing techniques such as evolutionary multi-objective algorithms, and many-objective swarm intelligence algorithms",
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Overview
Includes advances on unsupervised learning using natural computing techniques
Reports on topics in emerging areas such as evolutionary multi-objective unsupervised learning
Features natural computing techniques such as evolutionary multi-objective algorithms, and many-objective swarm intelligence algorithms
This item is Non-Returnable
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Details
- ISBN-13: 9783319985657
- ISBN-10: 3319985655
- Publisher: Springer
- Publish Date: November 2018
- Dimensions: 9.21 x 6.14 x 0.69 inches
- Shipping Weight: 1.25 pounds
- Page Count: 273
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