Search Results1-8 of  8

  • MIKAWA Kenta ID: 9000016265128

    Articles in CiNii:34

    • A Study on Evaluation of Model-based Collaborative Filtering Using Agent-based Simulation (2013)
    • An Analysis of Customers' Characteristics of Good and Estranged Customers Based on Membership Stage (2015)
    • A Study on Prediction Model of the Number of Applications on Internet Portal Sites for Job Hunting (2015)
  • MIKAWA Kenta ID: 9000283711048

    Graduate School of Creative Science and Engineering, Waseda University (2014 from CiNii)

    Articles in CiNii:1

    • A Design of Recommendation Based on Flexible Mixture Model Considering Purchasing Interest and Post-Purchase Satisfaction (2014)
  • MIKAWA Kenta ID: 9000303999629

    Department of Industrial and Management Systems Engineering, School of Creative Science and Engineering, Waseda University (2015 from CiNii)

    Articles in CiNii:1

    • Regularized Distance Metric Learning for Document Classification and Its Application (2015)
  • MIKAWA Kenta ID: 9000402794672

    Shonan Institute of Technology (2019 from CiNii)

    Articles in CiNii:1

    • An Estimation Model of Exhibits Price for Second-hand Fashion Items Based on Sales History Data (2019)
  • MIKAWA Kenta ID: 9000402795399

    Shonan Institute of Technology (2019 from CiNii)

    Articles in CiNii:1

    • An extension method of semi-supervised boosting to multiclass classification (2019)
  • MIKAWA Kenta ID: 9000409336857

    Shonan Institute of Technology (2020 from CiNii)

    Articles in CiNii:1

    • A Decision Model of Sales Period on List Price for Second-hand Fashion Items Based on Machine Learning Approach (2020)
  • MIKAWA Kenta ID: 9000409338501

    Shonan Institute of Technology (2020 from CiNii)

    Articles in CiNii:1

    • A Prediction Model of Earned Runs based on Latent Class Markov Chain for Starters of Professional Baseball Pitchers (2020)
  • MIKAWA Kenta ID: 9000409339124

    Shonan Institute of Technology (2020 from CiNii)

    Articles in CiNii:1

    • Improved Meta-learning by Parameter Adjustment via Latent Variables and Probabilistic Inference (2020)
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