文件名称：Machine.Learning.Optimization.and.Big.Data
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Machine Learning BigData Optimization
Machine Learning, Optimization, and Big Data: Second International Workshop, MOD 2016, Volterra, Italy, August 26-29, 2016, Revised Selected Papers (Lecture Notes in Computer Science) This book constitutes revised selected papers from the Second International Workshop on Machine Learning, Optimization, and Big Data, MOD 2016, held in Volterra, Italy, in August 2016. The 40 papers presented in this volume were carefully reviewed and selected from 97 submissions. These proceedings contain papers in the fields of Machine Learning, Computational Optimization and DataScience presenting a substantial array of ideas, technologies, algorithms, methods and applications. Table of Contents Chapter 1. Machine Learning: Multi-site Evidence-Based Best Practice Discovery Chapter 2. Data-Based Forest Management with Uncertainties and Multiple Objectives Chapter 3. Metabolic Circuit Design Automation by Multi-objective BioCAD Chapter 4. A Nash Equilibrium Approach to Metabolic Network Analysis Chapter 5. A Blocking Strategy for Ranking Features According to Probabilistic Relevance Chapter 6. A Scalable Biclustering Method for Heterogeneous Medical Data Chapter 7. Neural Learning of Heuristic Functions for General Game Playing Chapter 8. Comparing Hidden Markov Models and Long Short Term Memory Neural Networks for Learning Action Representations Chapter 9. Dynamic Multi-Objective Optimization with jMetal and Spark: A Case Study Chapter 10. Feature Selection via Co-regularized Sparse-Group Lasso Chapter 11. Economic Lot-Sizing Problem with Remanufacturing Option: Complexity and Algorithms Chapter 12. A Branch-and-Cut Algorithm for a Multi-item Inventory Distribution Problem Chapter 13. Adaptive Targeting in Online Advertisement: Models Based on Relative Influence of Factors Chapter 14. Design of Acoustic Metamaterials Through Nonlinear Programming Chapter 15. Driver Maneuvers Inference Through Machine Learning Chapter 16. A Systems Biology Approach for Unsupervised Clustering of High-Dimensional Data Chapter 17. Large-Scale Bandit Recommender System Chapter 18. Automatic Generation of Sitemaps Based on Navigation Systems Chapter 19. A Customer Relationship Management Case Study Based on Banking Data Chapter 20. Lagrangian Relaxation Bounds for a Production-Inventory-Routing Problem Chapter 21. Convergence Rate Evaluation of Derivative-Free Optimization Techniques Chapter 22. The Learnability of Business Rules Chapter 23. Dynamic Programming with Approximation Function for Nurse Scheduling Chapter 24. Breast Cancer's Microarray Data: Pattern Discovery Using Nonnegative Matrix Factorizations Chapter 25. Optimizing the Location of Helicopter Emergency Medical Service Operating Sites Chapter 26. An Enhanced Infra-Chromatic Bound for the Maximum Clique Problem Chapter 27. Cultural Ant Colony Optimization on GPUs for Travelling Salesman Problem Chapter 28. Combining Genetic Algorithm with the Multilevel Paradigm for the Maximum Constraint Satisfaction Problem Chapter 29. Implicit Location Sharing Detection in Social Media Turkish Text Messaging Chapter 30. Fuzzy Decision-Making of a Process for Quality Management Chapter 31. A Bayesian Network Profiler for Wildfire Arsonists Chapter 32. Learning Optimal Decision Lists as a Metaheuristic Search for Diagnosis of Parkinson's Disease Chapter 33. Hermes: A Distributed-Messaging Tool for NLP Chapter 34. Deep Learning for Classification of Dental Plaque Images Chapter 35. Multiscale Integration for Pattern Recognition in Neuroimaging Chapter 36. Game Theoretical Tools for Wing Design Chapter 37. Fastfood Elastic Net: Combining Variable Selection with Kernel Expansion Approximations Chapter 38. Big Data Analytics in a Public General Hospital Chapter 39. Inference of Gene Regulatory Network Based on Radial Basis Function Neural Network Chapter 40. Establishment of Optimal Control Strategy of Building-Integrated Photovoltaic Blind Slat Angle by Considering Interior Illuminance and Electricity Generation