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Book Categories |
Ch. 1 Exploring the Unknown Nature of Data: Cluster Analysis and Applications 1
Ch. 2 Principal Graphs and Manifolds 28
Ch. 3 Learning Algorithms for RBF Functions and Subspace Based Functions 60
Ch. 4 Nature Inspired Methods for Multi-Objective Optimization 95
Ch. 5 Artificial Immune Systems for Anomaly Detection 109
Ch. 6 Calibration of Machine Learning Models 128
Ch. 7 Classification with Incomplete Data 147
Ch. 8 Clustering and Visualization of Multivariate Time Series 176
Ch. 9 Locally Recurrent Neural Networks and Their Applications 195
Ch. 10 Nonstationary Signal Analysis with Kernel Machines 223
Ch. 11 Transfer Learning 242
Ch. 12 Machine Learning in Personalized Anemia Treatment 265
Ch. 13 Deterministic Pattern Mining On Genetic Sequences 277
Ch. 14 Machine Learning in Natural Language Processing 302
Ch. 15 Machine Learning Applications in Mega-Text Processing 325
Ch. 16 FOL Learning for Knowledge Discovery in Documents 348
Ch. 17 Machine Learning and Financial Investing 375
Ch. 18 Applications of Evolutionary Neural Networks for Sales Forecasting of Fashionable Products 387
Ch. 19 Support Vector Machine based Hybrid Classifiers and Rule Extraction thereof: Application to Bankruptcy Prediction in Banks 404
Ch. 20 Data Mining Experiences in Steel Industry 427
Ch. 21 Application of Neural Networks in Animal Science 440
Ch. 22 Statistical Machine Learning Approaches for Sports Video Mining Using Hidden Markov Models 457
Ch. 23 A Survey of Bayesian Techniques in Computer Vision 482
Ch. 24 Software Cost Estimation using Soft Computing Approaches 499
Ch. 25 Counting the Hidden Defects in Software Documents 519
Ch. 26 MachineLearning for Biometrics 539
Ch. 27 Neural Networks for Modeling the Contact Foot-Shoe Upper 561
Ch. 28 Evolutionary Multi-Objective Optimization of Autonomous Mobile Robots in Neural-Based Cognition for Behavioural Robustness 574
Ch. 29 Improving Automated Planning with Machine Learning 599
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| $404.93 | Digital |
| WonderClub |
Julie Justus
reviewed Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods and Techniques on February 27, 2016
Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods and Techniques
Read chapter 5 (neural networks) and skimmed 6 (applications of neural networks); good theoretical foundation.
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Add 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: Alg, Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods and Techniques to the inventory that you are selling on WonderClubX
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Add 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: Alg, Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods and Techniques to your collection on WonderClub |