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  • Conference proceedings
  • © 2019

Machine Learning, Optimization, and Data Science

4th International Conference, LOD 2018, Volterra, Italy, September 13-16, 2018, Revised Selected Papers

Editors:

  1. Giuseppe Nicosia

    1. University of Catania, Catania, Italy and University of Reading, Reading, UK

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  2. Panos Pardalos

    1. University of Florida, Gainesville, USA

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  3. Giovanni Giuffrida

    1. University of Catania, Catania, Italy

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  4. Renato Umeton

    1. Harvard University, Cambridge, USA

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  5. Vincenzo Sciacca

    1. IBM, Tivoli Research Lab, Rome, Italy

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11331)

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

Conference series link(s): LOD: International Conference on Machine Learning, Optimization, and Data Science

Conference proceedings info: LOD 2018.

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Table of contents (46 papers)

  1. Front Matter

    Pages I-XXII
    PDF

  3. Simple Learning with a Teacher via Biased Regularized Least Squares

    • Sergio Decherchi, Andrea Cavalli
    Pages 14-25

  4. Feature Based Multivariate Data Imputation

    • Alessio Petrozziello, Ivan Jordanov
    Pages 26-37

  6. Information-Theoretic Feature Selection Using High-Order Interactions

    • Mateusz Pawluk, PaweÅ‚ Teisseyre, Jan Mielniczuk
    Pages 51-63

  7. Covering Arrays to Support the Process of Feature Selection in the Random Forest Classifier

    • Sebastián Vivas, Carlos Cobos, Martha Mendoza
    Pages 64-76

  9. Generating Term Weighting Schemes Through Genetic Programming

    • Ahmad Mazyad, Fabien Teytaud, Cyril Fonlupt
    Pages 92-103

  10. Data-Driven Interactive Multiobjective Optimization Using a Cluster-Based Surrogate in a Discrete Decision Space

    • Jussi Hakanen, Jose Malmberg, Vesa Ojalehto, Kyle Eyvindson
    Pages 104-115

  12. Adaptive Dimensionality Reduction in Multiobjective Optimization with Multiextremal Criteria

    • Victor Gergel, Vladimir Grishagin, Ruslan Israfilov
    Pages 129-140

  13. REFINE: Representation Learning from Diffusion Events

    • Zekarias T. Kefato, Nasrullah Sheikh, Alberto Montresor
    Pages 141-153

  14. Augmented Design-Space Exploration by Nonlinear Dimensionality Reduction Methods

    • Danny D’Agostino, Andrea Serani, Emilio Fortunato Campana, Matteo Diez
    Pages 154-165

  15. Classification and Survival Prediction in Diffuse Large B-Cell Lymphoma by Gene Expression Profiling

    • Pierangela Bruno, Francesco Calimeri, Aldo Marzullo
    Pages 166-178

  16. Learning Consistent Tree-Augmented Dynamic Bayesian Networks

    • Margarida Sousa, Alexandra M. Carvalho
    Pages 179-190

  17. Designing Ships Using Constrained Multi-objective Efficient Global Optimization

    • Roy de Winter, Bas van Stein, Matthys Dijkman, Thomas Bäck
    Pages 191-203

  18. A New Approach to Measuring Distances in Dense Graphs

    • Fatimah A. Almulhim, Peter A. Thwaites, Charles C. Taylor
    Pages 204-216

  20. Average Performance Analysis of the Stochastic Gradient Method for Online PCA

    • Stéphane Chrétien, Christophe Guyeux, Zhen-Wai Olivier Ho
    Pages 231-242
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Other Volumes

  1. Machine Learning, Optimization, and Data Science

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About this book

This book constitutes the post-conference proceedings of the 4th International Conference on Machine Learning, Optimization, and Data Science, LOD 2018, held in Volterra, Italy, in September 2018.
The 46 full papers presented were carefully reviewed and selected from 126 submissions. The papers cover topics in the field of machine learning, artificial intelligence,  reinforcement learning, computational optimization and data science presenting a substantial array of ideas, technologies, algorithms, methods and applications.



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Keywords

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Editors and Affiliations

  • University of Catania, Catania, Italy and University of Reading, Reading, UK

    Giuseppe Nicosia

  • University of Florida, Gainesville, USA

    Panos Pardalos

  • University of Catania, Catania, Italy

    Giovanni Giuffrida

  • Harvard University, Cambridge, USA

    Renato Umeton

  • IBM, Tivoli Research Lab, Rome, Italy

    Vincenzo Sciacca

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Bibliographic Information

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Policies and ethics

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Access via your institution

Buy it now

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

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