文件名称：机器学习应用与趋势研究手册算法,方法与技术
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更新时间：2013-12-30 04:10:24
机器学习 趋势 算法 方法 技术
Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques Emilio Soria Olivas University of Valencia, Spain José David Martín Guerrero University of Valencia, Spain Marcelino Martinez Sober University of Valencia, Spain Jose Rafael Magdalena Benedito University of Valencia, Spain Antonio José Serrano López University of Valencia, Spain Contents Chapter 1 Exploring the Unknown Nature of Data: Cluster Analysis and Applications Chapter 2 Principal Graphs and Manifolds Chapter 3 Learning Algorithms for RBF Functions and Subspace Based Functions Chapter 4 Nature Inspired Methods for Multi-Objective Optimization Chapter 5 Artificial Immune Systems for Anomaly Detection Chapter 6 Calibration of Machine Learning Models Chapter 7 Classification with Incomplete Data Chapter 8 Clustering and Visualization of Multivariate Time Series Chapter 9 Locally Recurrent Neural Networks and Their Applications Chapter 10 Nonstationary Signal Analysis with Kernel Machines Chapter 11 Transfer Learning Chapter 12 Machine Learning in Personalized Anemia Treatment Chapter 13 Deterministic Pattern Mining On Genetic Sequences Chapter 14 Machine Learning in Natural Language Processing Chapter 15 Machine Learning Applications in Mega-Text Processing Chapter 16 FOL Learning for Knowledge Discovery in Documents Chapter 17 Machine Learning and Financial Investing Chapter 18 Applications of Evolutionary Neural Networks for Sales Forecasting of Fashionable Products Chapter 19 Support Vector Machine based Hybrid Classifiers and Rule Extraction thereof: Application to Bankruptcy Prediction in Banks Chapter 20 Data Mining Experiences in Steel Industry Chapter 21 Application of Neural Networks in Animal Science Chapter 22 Statistical Machine Learning Approaches for Sports Video Mining Using Hidden Markov Models Chapter 23 A Survey of Bayesian Techniques in Computer Vision Chapter 24 Software Cost Estimation using Soft Computing Approaches Chapter 25 Counting the Hidden Defects in Software Documents Chapter 26 Machine Learning for Biometrics Chapter 27 Neural Networks for Modeling the Contact Foot-Shoe Upper Chapter 28 Evolutionary Multi-Objective Optimization of Autonomous Mobile Robots in Neural-Based Cognition for Behavioural Robustness Chapter 29 Improving Automated Planning with Machine Learning