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Emerging Paradigms in Machine Learning|Sheela Ramanna

Emerging Paradigms in Machine Learning

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Overview

From the content: Emerging Paradigms in Machine Learning: An Introduction.- Extensions of Dynamic Programming as a New Tool for Decision Tree Optimization.- Optimised information abstraction in granular Min/Max clustering.- Mining Incomplete Data-A Rough Set Approach.- Roles Played by Bayesian Networks in Machine Learning: An Empirical Investigation.

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Details

  • ISBN-13: 9783642435744
  • ISBN-10: 3642435742
  • Publisher: Springer
  • Publish Date: August 2014
  • Dimensions: 9.21 x 6.14 x 1.05 inches
  • Shipping Weight: 1.59 pounds
  • Page Count: 498

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