Machine Learning, Optimization, and Big Data
First International Workshop, MOD 2015, Taormina, Sicily, Italy, July 21-23, 2015, Revised Selected Papers
Published on 5. January 2016
XV, 372 pages
978-3-319-27926-8 (ISBN)
Description
This book
constitutes revised selected papers from the First International Workshop on
Machine Learning, Optimization, and Big Data, MOD 2015, held in Taormina, Sicily,
Italy, in July 2015.
The 32
papers presented in this volume were carefully reviewed and selected from 73
submissions. They deal with the algorithms, methods and theories relevant in
data science, optimization and machine learning.
More details
Series
Edition
1st ed. 2015
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XV, 372 p. 115 illus.
File size
20,43 MB
ISBN-13
978-3-319-27926-8 (9783319279268)
DOI
10.1007/978-3-319-27926-8
Schweitzer Classification
Other editions
Additional editions
Panos Pardalos | Mario Pavone | Giovanni Maria Farinella
Machine Learning, Optimization, and Big Data
First International Workshop, MOD 2015, Taormina, Sicily, Italy, July 21-23, 2015, Revised Selected Papers
Book
01/2016
Springer
€53.49
Shipment within 10-15 days
Content
Learning with discrete least squares on multivariate polynomial spaces usingevaluations at random or low-discrepancy point sets.- Automatic Tuning of Algorithms through Sensitivity Minimization.- Step down and step up statistical procedures for stock selection with Sharp ratio.- Differentiating the multipoint Expected Improvement for optimal batch design.- Dynamic Detection of Transportation Modes using KeypointPrediction.- Effect of the dynamic topology on the performance of PSO-2S algorithm for continuous optimization.- Heuristic for Site-Dependent Truck and Trailer Routing Problem with Soft and Hard Time Windows and Split Deliveries.- Cross-Domain Matrix Factorization for Multiple Implicit-Feedback Domains.- Advanced Metamodeling Techniques Applied to Multidimensional Applications with Piecewise Responses.- Alternating direction method of multipliers for regularized multiclass support vector machines.- Tree-Based Response Surface Analysis.- A Single-Facility Manifold Location Routing Problem with an Application to Supply Chain Management and Robotics.- An Ecient Many-Core Implementation for Semi-Supervised Support Vector Machines.- Intent Recognition in a Simulated Maritime Multi-Agent Domain.- An Adaptive Classification Framework for Unsupervised Model Updating in Nonstationary Environments.- Global Optimization with Sparse and Local Gaussian Process Models.- Condense Mixed Convexity and Optimization with an Application in Data Service Optimization.- SoC-based pattern recognition device for Non Destructive Testing.
