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Advances in machine learning and decision making

Author

Listed:
  • Zachary A. Collier

    (Collier Research Systems)

  • James H. Lambert

    (University of Virginia)

  • Igor Linkov

    (US Army Engineer Research & Development Center)

Abstract

No abstract is available for this item.

Suggested Citation

  • Zachary A. Collier & James H. Lambert & Igor Linkov, 2019. "Advances in machine learning and decision making," Environment Systems and Decisions, Springer, vol. 39(3), pages 247-248, September.
    • Handle: RePEc:spr:envsyd:v:39:y:2019:i:3:d:10.1007_s10669-019-09738-y
    DOI: 10.1007/s10669-019-09738-y
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    References listed on IDEAS

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    1. Stephen Adams & Steven Greenspan & Maria Velez-Rojas & Serge Mankovski & Peter A. Beling, 2019. "Data-driven simulation for energy consumption estimation in a smart home," Environment Systems and Decisions, Springer, vol. 39(3), pages 281-294, September.
    2. Arun Varghese & Tao Hong & Chelsea Hunter & George Agyeman-Badu & Michelle Cawley, 2019. "Active learning in automated text classification: a case study exploring bias in predicted model performance metrics," Environment Systems and Decisions, Springer, vol. 39(3), pages 269-280, September.
    3. Domenico C. Amodeo & Royce A. Francis, 2019. "Investigating adoption patterns of residential low impact development (LID) using classification trees," Environment Systems and Decisions, Springer, vol. 39(3), pages 295-306, September.
    Full references (including those not matched with items on IDEAS)

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