Emerging Paradigms in Machine Learning /
| Corporate Author: | |
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| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2013.
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| Edition: | 1st ed. 2013. |
| Series: | Smart Innovation, Systems and Technologies,
13 |
| Subjects: |
Table of Contents:
- 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.