Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods and Techniques
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...
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"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.
Ch. 1 Exploring the Unknown Nature of Data: Cluster Analysis and Applications 1Ch. 2 Principal Graphs and Manifolds 28Ch. 3 Learning Algorithms for RBF Functions and Subspace Based Functions 60Ch. 4 Nature Inspired Methods for Multi-Objective Optimization 95Ch. 5 Artificial Immune Systems for Anomaly Detection 109Ch. 6 Calibration of Machine Learning Models 128Ch. 7 Classification with Incomplete Data 147Ch. 8 Clustering and Visualization of Multivariate Time Series 176Ch. 9 Locally Recurrent Neural Networks and Their Applications 195Ch. 10 Nonstationary Signal Analysis with Kernel Machines 223Ch. 11 Transfer Learning 242Ch. 12 Machine Learning in Personalized Anemia Treatment 265Ch. 13 Deterministic Pattern Mining On Genetic Sequences 277Ch. 14 Machine Learning in Natural Language Processing 302Ch. 15 Machine Learning Applications in Mega-Text Processing 325Ch. 16 FOL Learning for Knowledge Discovery in Documents 348Ch. 17 Machine Learning and Financial Investing 375Ch. 18 Applications of Evolutionary Neural Networks for Sales Forecasting of Fashionable Products 387Ch. 19 Support Vector Machine based Hybrid Classifiers and Rule Extraction thereof: Application to Bankruptcy Prediction in Banks 404Ch. 20 Data Mining Experiences in Steel Industry 427Ch. 21 Application of Neural Networks in Animal Science 440Ch. 22 Statistical Machine Learning Approaches for Sports Video Mining Using Hidden Markov Models 457Ch. 23 A Survey of Bayesian Techniques in Computer Vision 482Ch. 24 Software Cost Estimation using Soft Computing Approaches 499Ch. 25 Counting the Hidden Defects in Software Documents 519Ch. 26 MachineLearning for Biometrics 539Ch. 27 Neural Networks for Modeling the Contact Foot-Shoe Upper 561Ch. 28 Evolutionary Multi-Objective Optimization of Autonomous Mobile Robots in Neural-Based Cognition for Behavioural Robustness 574Ch. 29 Improving Automated Planning with Machine Learning 599
