| Description |
1 online resource (3 volumes) : illustrations |
| Contents |
Vol. 1. 1. Exploring the Unknown Nature of Data: Cluster Analysis and Applications -- 2. Principal Graphs and Manifolds -- 3. Learning Algorithms for RBF Functions and Subspace Based Functions -- 4. Nature Inspired Methods for Multi-Objective Optimization -- 5. Artificial Immune Systems for Anomaly Detection -- 6. Calibration of Machine Learning Models -- 7. Classification with Incomplete Data -- 8. Clustering and Visualization of Multivariate Time Series -- 9. Locally Recurrent Neural Networks and Their Applications -- 10. Nonstationary Signal Analysis with Kernel Machines -- 11. Transfer Learning -- 12. Machine Learning in Personalized Anemia Treatment -- 13. Deterministic Pattern Mining On Genetic Sequences |
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Vol. 2. 14. Machine Learning in Natural Language Processing -- 15. Machine Learning Applications in Mega-Text Processing -- 16. FOL Learning for Knowledge Discovery in Documents -- 17. Machine Learning and Financial Investing -- 18. Applications of Evolutionary Neural Networks for Sales Forecasting of Fashionable Products -- 19. Support Vector Machine based Hybrid Classifiers and Rule Extraction thereof: Application to Bankruptcy Prediction in Banks -- 20. Data Mining Experiences in Steel Industry -- 21. Application of Neural Networks in Animal Science -- 22. Statistical Machine Learning Approaches for Sports Video Mining Using Hidden Markov Models -- 23. A Survey of Bayesian Techniques in Computer Vision -- 24. Software Cost Estimation using Soft Computing Approaches -- 25. Counting the Hidden Defects in Software Documents -- 26. Machine Learning for Biometrics -- 27. Neural Networks for Modeling the Contact Foot-Shoe Upper -- 28. Evolutionary Multi-Objective Optimization of Autonomous Mobile Robots in Neural-Based Cognition for Behavioural Robustness -- 29. Improving Automated Planning with Machine Learning |
| Summary |
"This book investiges machine learning (ML), one of the most fruitful fields of current research, both in the proposal of new techniques and theoretic algorithms and in their application to real-life problems"--Provided by publisher |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Print version record |
| Subject |
Machine learning -- Congresses
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Machine learning -- Industrial applications -- Congresses
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COMPUTERS -- Enterprise Applications -- Business Intelligence Tools.
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COMPUTERS -- Intelligence (AI) & Semantics.
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Machine learning
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Machine learning -- Industrial applications
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| Genre/Form |
Conference papers and proceedings
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| Form |
Electronic book
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| Author |
Soria Olivas, Emilio, 1969-
|
| LC no. |
2009007738 |
| ISBN |
9781605667669 |
|
1605667668 |
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9781605667676 |
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1605667676 |
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