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Machine learning, optimization, and big data[electronic resource] :first International Workshop, MOD 2015, Taormina, Sicily, Italy, July 21-23, 2015 : revised selected papers /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	006.31
書名/作者:	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 ... [et al.].
其他題名:	MOD 2015
其他作者:	Pardalos, Panos.
團體作者:	Clark Conference
出版者:	Cham : : Springer International Publishing :, 2015.
面頁冊數:	xv, 372 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Machine learning
標題:	Mathematical optimization
標題:	Big data - Congresses.
標題:	Computer Science.
標題:	Information Systems Applications (incl. Internet)
標題:	Algorithm Analysis and Problem Complexity.
標題:	Artificial Intelligence (incl. Robotics)
標題:	Computation by Abstract Devices.
標題:	Database Management.
標題:	Information Storage and Retrieval.
ISBN:	9783319279268
ISBN:	9783319279251
內容註:	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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-27926-8

Machine learning, optimization, and big data[electronic resource] :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 ;7103..

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

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

135653
Machine learning

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Machine learning, optimization, and big data[electronic resource] :first International Workshop, MOD 2015, Taormina, Sicily, Italy, July 21-23, 2015 : revised selected papers /
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