Machine Learning, Optimization, and Big Data

Book Description

Machine Learning, Optimization, and Big Data: Second International Workshop, MOD 2016, Volterra, Italy, August 26-29, 2016, Revised Selected Papers (Lecture Notes in )
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, , 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 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 Data
Chapter 7. Neural Learning of Heuristic 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 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

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