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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

  • Conference proceedings
  • © 2015

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Editors:
  1. Panos Pardalos

    1. University of Florida, Gainsville, USA

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  2. Mario Pavone

    1. University of Catania, Catania, Italy

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  3. Giovanni Maria Farinella

    1. University of Catania, Catania, Italy

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  4. Vincenzo Cutello

    1. University of Catania, Catania, Italy

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9432)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: MOD 2015.

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About this book

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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Keywords

Table of contents (32 papers)

  1. Front Matter

    Pages I-XV
    Download chapter PDF

  2. Learning with Discrete Least Squares on Multivariate Polynomial Spaces Using Evaluations at Random or Low-Discrepancy Point Sets

    • Giovanni Migliorati
    Pages 1-13

  3. Automatic Tuning of Algorithms Through Sensitivity Minimization

    • Piero Conca, Giovanni Stracquadanio, Giuseppe Nicosia
    Pages 14-25

  4. Step Down and Step Up Statistical Procedures for Stock Selection with Sharp Ratio

    • A. P. Koldanov, V. A. Kalyagin, P. M. Pardalos
    Pages 26-36

  5. Differentiating the Multipoint Expected Improvement for Optimal Batch Design

    • Sébastien Marmin, Clément Chevalier, David Ginsbourger
    Pages 37-48

  6. Dynamic Detection of Transportation Modes Using Keypoint Prediction

    • Olga Birth, Aaron Frueh, Johann Schlichter
    Pages 49-59

  7. Effect of the Dynamic Topology on the Performance of PSO-2S Algorithm for Continuous Optimization

    • Abbas El Dor, Patrick Siarry
    Pages 60-64

  8. Heuristic for Site-Dependent Truck and Trailer Routing Problem with Soft and Hard Time Windows and Split Deliveries

    • Mikhail Batsyn, Alexander Ponomarenko
    Pages 65-79

  9. Cross-Domain Matrix Factorization for Multiple Implicit-Feedback Domains

    • Rohit Parimi, Doina Caragea
    Pages 80-92

  10. Advanced Metamodeling Techniques Applied to Multidimensional Applications with Piecewise Responses

    • Toufik Al Khawli, Urs Eppelt, Wolfgang Schulz
    Pages 93-104

  11. Alternating Direction Method of Multipliers for Regularized Multiclass Support Vector Machines

    • Yangyang Xu, Ioannis Akrotirianakis, Amit Chakraborty
    Pages 105-117

  12. Tree-Based Response Surface Analysis

    • Siva Krishna Dasari, Niklas Lavesson, Petter Andersson, Marie Persson
    Pages 118-129

  13. A Single-Facility Manifold Location Routing Problem with an Application to Supply Chain Management and Robotics

    • Emre Tokgöz, Iddrisu Awudu, Theodore B. Trafalis
    Pages 130-144

  14. An Efficient Many-Core Implementation for Semi-Supervised Support Vector Machines

    • Fabian Gieseke
    Pages 145-157

  15. Intent Recognition in a Simulated Maritime Multi-agent Domain

    • Mohammad Taghi Saffar, Mircea Nicolescu, Monica Nicolescu, Daniel Bigelow, Christopher Ballinger, Sushil Louis
    Pages 158-170

  16. An Adaptive Classification Framework for Unsupervised Model Updating in Nonstationary Environments

    • Piero Conca, Jon Timmis, Rogério de Lemos, Simon Forrest, Heather McCracken
    Pages 171-184

  17. Global Optimization with Sparse and Local Gaussian Process Models

    • Tipaluck Krityakierne, David Ginsbourger
    Pages 185-196

  18. Condense Mixed Convexity and Optimization with an Application in Data Service Optimization

    • Emre Tokgöz, Hillel Kumin
    Pages 197-208

  19. SoC-Based Pattern Recognition Systems for Non Destructive Testing

    • Omar Schiaratura, Pietro Ansaloni, Giovanni Lughi, Mattia Neri, Matteo Roffilli, Fabrizio Serpi et al.
    Pages 209-221

  20. Node-Immunization Strategies in a Stochastic Epidemic Model

    • Juan Piccini, Franco Robledo, Pablo Romero
    Pages 222-232
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Other volumes

  1. Machine Learning, Optimization, and Big Data

Editors and Affiliations

  • University of Florida, Gainsville, USA

    Panos Pardalos

  • University of Catania, Catania, Italy

    Mario Pavone, Giovanni Maria Farinella, Vincenzo Cutello

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