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Search: "[ keyword: Machine Learning ]" (90)
    Development of a Model for Predicting the Severity of Traffic Accidents and Analysis of Accident Factors based on Machine Learning
    Kim Jung Hyuk, Cho Nam Wook The Transactions of the Korea Information Processing Society, Vol. 14, No. 2, pp. 72-81, Feb. 2025
    https://doi.org/10.3745/TKIPS.2025.14.2.72
    Keywords: Machine Learning, Big data, Traffic Accident, Severity Prediction, Accident Factors


    Research on Evaluation Methods for GPR-SEM Prediction Models
    Moon Kyung-Yeol, Park Kun-Uk The Transactions of the Korea Information Processing Society, Vol. 14, No. 1, pp. 14-20, Jan. 2025
    https://doi.org/10.3745/TKIPS.2025.14.1.14
    Keywords: Machine Learning, Gaussian Proces Regression, GPR-SEM, Model Evaluation Method, Small-dataset


    Clustering-based Model Compression Method for Deep Neural Networks
    Byungchul Chae, Seonyeong Heo The Transactions of the Korea Information Processing Society, Vol. 13, No. 11, pp. 585-589, Nov. 2024
    https://doi.org/10.3745/TKIPS.2024.13.11.585
    Keywords: On-device Machine Learning, Model Compression, Kernel Clustering


    Development of an AutoML Web Platform for Text Classification Automation
    Ha-Yoon Song, Jeon-Seong Kang, Beom-Joon Park, Junyoung Kim, Kwang-Woo Jeon, Junwon Yoon, Hyun-Joon Chung The Transactions of the Korea Information Processing Society, Vol. 13, No. 10, pp. 537-544, Oct. 2024
    https://doi.org/10.3745/TKIPS.2024.13.10.537
    Keywords: Text Classification, Automated Machine Learning (AutoML), web platform, Natural Language Processing, H2O


    Detection of Abnormal CAN Messages Using Periodicity and Time Series Analysis
    Se-Rin Kim, Ji-Hyun Sung, Beom-Heon Youn, Harksu Cho The Transactions of the Korea Information Processing Society, Vol. 13, No. 9, pp. 395-403, Sep. 2024
    https://doi.org/10.3745/TKIPS.2024.13.9.395  
    Keywords: CAN, GRU, Anomaly Detection, Time Series, Machine Learning


    Cox Model Improvement Using Residual Blocks in Neural Networks: A Study on the Predictive Model of Cervical Cancer Mortality
    Nang Kyeong Lee, Joo Young Kim, Ji Soo Tak, Hyeong Rok Lee, Hyun Ji Jeon, Jee Myung Yang, Seung Won Lee The Transactions of the Korea Information Processing Society, Vol. 13, No. 6, pp. 260-268, Jun. 2024
    https://doi.org/10.3745/TKIPS.2024.13.6.260
    Keywords: Cervical cancer, Survival Prediction Model, Cox Proportional Hazards, Machine Learning, Deep Neural Networks, ResNet


    Evaluating the Efficiency of Models for Predicting Seismic Building Damage
    Chae Song Hwa, Yujin Lim The Transactions of the Korea Information Processing Society, Vol. 13, No. 5, pp. 217-220, May. 2024
    https://doi.org/10.3745/TKIPS.2024.13.5.217  
    Keywords: Earthquake, Earthquake Damage Prediction, Machine Learning(ml)


    Accelerating the EM Algorithm through Selective Sampling for Naive Bayes Text Classifier
    Jae Young Chang , Han Joon Kim The KIPS Transactions:PartD, Vol. 13, No. 3, pp. 369-376, Jun. 2006
    10.3745/KIPSTD.2006.13.3.369


    Systematic Research on Privacy-Preserving Distributed Machine Learning
    Min Seob Lee, Young Ah Shin, Ji Young Chun The Transactions of the Korea Information Processing Society, Vol. 13, No. 2, pp. 76-90, Feb. 2024
    https://doi.org/10.3745/TKIPS.2024.13.2.76
    Keywords: Distributed Machine Learning, Privacy-Preserving Technologies, Federated learning, Swarm Learning


    Performance Evaluation on the Learning Algorithm for Automatic Classification of Q&A Documents
    Choi Jung-Min, Lee Byoung-Soo The KIPS Transactions:PartD, Vol. 13, No. 1, pp. 133-138, Feb. 2006
    http://dx.doi.org/10.3745/KIPSTD.2006.13D.1.133
    Keywords: eCRM, Document Classification, Machine Learning


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