Machine Learning Paradigms Applications of Learning and Analytics in Intelligent Systems /
This book is the inaugural volume in the new Springer series on Learning and Analytics in Intelligent Systems. The series aims at providing, in hard-copy and soft-copy form, books on all aspects of learning, analytics, advanced intelligent systems and related technologies. These disciplines are stro...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
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Έκδοση: | 1st ed. 2019. |
Σειρά: | Learning and Analytics in Intelligent Systems,
1 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Chapter 1: Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems
- Chapter 2: A Comparison of Machine Learning Techniques to Predict the Risk of Heart Failure
- Chapter 3: Differential gene Expression Analysis of RNA-seq Data Using Machine Learning for Cancer Research
- Chapter 4: Machine Learning Approaches for Pap-Smear Diagnosis: An Overview
- Chapter 5: Multi-Kernel Analysis Paradigm Implementing the Learning from Loads Approach for Smart Power Systems
- Chapter 6: Conceptualizing and Measuring Energy Security: Geopolitical Dimensions, Data Availability, Quantitative and Qualitative Methods
- Chapter 7: Automated Stock Price Motion Prediction Using Technical Analysis Datasets and Machine Learning
- Chapter 8: Airport Data Analysis Using Common Statistical Methods and Knowledge-Based Techniques
- Chapter 9: A Taxonomy and Review of the Network Data Envelopment Analysis Literature
- Chapter 10: Applying Advanced Data Analytics and Machine Learning to Enhance the Safety Control of Dams
- Chapter 11: Analytics and Evolving Landscape of Machine Learning for Emergency Response
- Chapter 12: Social Media Analytics, Types and Methodology
- Chapter 13: Machine Learning Methods for Opinion Mining in Text: The Past and the Future
- Chapter 14: Ship Detection Using Machine Learning and Optical Imagery in the Maritime Environment
- Chapter 15: Video Analytics for Visual Surveillance and Applications: An Overview and Survey
- Chapter 16: Machine Learning in Alternate Testing of Integrated Circuits.