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Machine Learning, Optimization, and Big Data : First International Workshop, MOD 2015, Taormina, Sicily, Italy, July 21-23, 2015, Revised Selected Papers / edited by Panos Pardalos, Mario Pavone, Giovanni Maria Farinella, Vincenzo Cutello.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Pardalos, Panos., Editor.
Pavone, Mario, Editor.
Farinella, Giovanni Maria, Editor.
Cutello, Vincenzo, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 9432
Information Systems and Applications, incl. Internet/Web, and HCI ; 9432
Language:
English
Subjects (All):
Application software.
Algorithms.
Artificial intelligence.
Computer science.
Database management.
Information storage and retrieval systems.
Computer and Information Systems Applications.
Artificial Intelligence.
Theory of Computation.
Database Management.
Information Storage and Retrieval.
Local Subjects:
Computer and Information Systems Applications.
Algorithms.
Artificial Intelligence.
Theory of Computation.
Database Management.
Information Storage and Retrieval.
Physical Description:
1 online resource (XV, 372 pages) : 115 illustrations
Edition:
1st ed. 2015.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2015.
System Details:
text file PDF
Summary:
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. .
Contents:
Learning with discrete least squares on multivariate polynomial spaces using evaluations 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.
Other Format:
Printed edition:
ISBN:
978-3-319-27926-8
9783319279268
Access Restriction:
Restricted for use by site license.

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