Handbook of Research on Machine Learning Applications and Trends Algorithms Methods and Techniques 1st Edition by Emilio Soria Olivas, Jose David Martin Guerrero, Marcelino Martinez Sober ISBN 1605667668 978-1605667669

Handbook of Research on Machine Learning Applications and Trends Algorithms Methods and Techniques 1st Edition by Emilio Soria Olivas,  Jose David Martin Guerrero, Marcelino Martinez Sober – Ebook PDF Instant Download/Delivery: 1605667668, 978-1605667669
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Product details: 

ISBN 10: 1605667668 

ISBN 13: 978-1605667669

Author:  Emilio Soria Olivas,  Jose David Martin Guerrero, Marcelino Martinez Sober 

The machine learning approach provides a useful tool when the amount of data is very large and a model is not available to explain the generation and relation of the data set. The Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques provides a set of practical applications for solving problems and applying various techniques in automatic data extraction and setting. A defining collection of field advancements, this Handbook of Research fills the gap between theory and practice, providing a strong reference for academicians, researchers, and practitioners.

Table of contents: 

1 Exploring the Unknown Nature of Data
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 Applications of Evolutionary Neural Networks for Sales Forecasting of Fashionable Products
10 Support Vector Machine based Hybrid Classifiers and Rule Extraction thereof
11 Application to Bankruptcy Prediction in Banks
12 Application of Neural Networks in Animal Science
13 Statistical Machine Learning Approaches for Sports Video Mining Using Hidden Markov Models
14 A Survey of Bayesian Techniques in Computer Vision
15 Software Cost Estimation using Soft Computing Approaches
16 Counting the Hidden Defects in Software Documents
17 Locally Recurrent Neural Networks and Their Applications
18 Nonstationary Signal Analysis with Kernel Machines
19 Transfer Learning
20 Machine Learning in Personalized Anemia Treatment
21 Deterministic Pattern Mining on Genetic Sequences
22 Machine Learning in Natural Language Processing
23 Machine Learning Applications in MegaText Processing
24 FOL Learning for Knowledge Discovery in Documents
25 Machine Learning and Financial Investing
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
30 Compilation of References
31 About the Contributors

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Emilio Soria Olivas,Jose David Martin Guerrero,Marcelino Martinez Sober,Handbook of Research,Machine Learning