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Machine learning, optimization, and ...

Pardalos, Panos.

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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 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning, optimization, and big data/ edited by Panos Pardalos ... [et al.].
Reminder of title:	first International Workshop, MOD 2015, Taormina, Sicily, Italy, July 21-23, 2015 : revised selected papers /
remainder title:	MOD 2015
other author:	Pardalos, Panos.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	xv, 372 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Machine learning -
Online resource:	http://dx.doi.org/10.1007/978-3-319-27926-8
ISBN:	9783319279268$q(electronic bk.)

Machine learning, optimization, and big data = first International Workshop, MOD 2015, Taormina, Sicily, Italy, July 21-23, 2015 : revised selected papers /
Machine learning, optimization, and big datafirst International Workshop, MOD 2015, Taormina, Sicily, Italy, July 21-23, 2015 : revised selected papers /[electronic resource] :MOD 2015edited by Panos Pardalos ... [et al.]. - Cham :Springer International Publishing :2015. - xv, 372 p. :ill., digital ;24 cm. - Lecture notes in computer science,94320302-9743 ;. - Lecture notes in computer science ;5353..

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.

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.

ISBN: 9783319279268$q(electronic bk.)

Standard No.: 10.1007/978-3-319-27926-8doiSubjects--Topical Terms:

744343
Machine learning

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Machine learning, optimization, and big data = first International Workshop, MOD 2015, Taormina, Sicily, Italy, July 21-23, 2015 : revised selected papers /
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520 $a 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.
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650 0 $a Mathematical optimization $3 704011
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650 2 4 $a Computation by Abstract Devices. $3 891207
650 2 4 $a Database Management. $3 891010
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