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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. 1st ed. 2015

フォーマット:
電子ブック
責任表示:
edited by Panos Pardalos, Mario Pavone, Giovanni Maria Farinella, Vincenzo Cutello
言語:
英語
出版情報:
Cham : Springer International Publishing : Imprint: Springer, 2015
形態:
XV, 372 p. 115 illus
著者名:
シリーズ名:
Lecture Notes in Computer Science ; 9432
目次情報:
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
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
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書誌ID:
LB00386643
ISBN:
9783319279251 [3319279254]  CiNii Books  Webcat Plus  Google Books
9783319279268 [3319279262]  CiNii Books  Webcat Plus  Google Books
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