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"item_description" : "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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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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