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Machine Learning, Optimization, and Big Data Panos Pardalos

Machine Learning, Optimization, and Big Data By Panos Pardalos

Machine Learning, Optimization, and Big Data by Panos Pardalos

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Summary

This bookconstitutes revised selected papers from the First International Workshop onMachine Learning, Optimization, and Big Data, MOD 2015, held in Taormina, Sicily,Italy, in July 2015.
The 32papers presented in this volume were carefully reviewed and selected from 73submissions.

Machine Learning, Optimization, and Big Data Summary

Machine Learning, Optimization, and Big Data: First International Workshop, MOD 2015, Taormina, Sicily, Italy, July 21-23, 2015, Revised Selected Papers by Panos Pardalos

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.

Table of Contents

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 Keypoint Prediction.- 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.

Additional information

NLS9783319279251
9783319279251
3319279254
Machine Learning, Optimization, and Big Data: First International Workshop, MOD 2015, Taormina, Sicily, Italy, July 21-23, 2015, Revised Selected Papers by Panos Pardalos
Panos Pardalos
Information Systems and Applications, incl. Internet/Web, and HCI
New
Paperback
Springer International Publishing AG
2016-01-06
372
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a new book - be the first to read this copy. With untouched pages and a perfect binding, your brand new copy is ready to be opened for the first time

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