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Search: "[ keyword: Learning ]" (262)
    Applying Packet based Machine Learning Algorithm to Misuse IDS for Better Performance
    Ill Young Weon , Doo Heon Song , Chang Hoon Lee The KIPS Transactions:PartC, Vol. 11, No. 3, pp. 301-308, Jun. 2004
    10.3745/KIPSTC.2004.11.3.301


    Hybrid Statistical Learning Model for Intrusion Detection of Networks
    Jeon Seong Hae The KIPS Transactions:PartC, Vol. 10, No. 6, pp. 705-710, Oct. 2003
    10.3745/KIPSTC.2003.10.6.705


    Software Reliability Prediction of Grouped Failure Data Using Variant Models of Cascade - Correlation Learning Algorithm
    Sang Un Lee, Joong Yang Park The KIPS Transactions:PartD, Vol. 8, No. 4, pp. 387-392, Aug. 2001
    10.3745/KIPSTD.2001.8.4.387


    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


    Development of a Deep Learning-based Midterm PM2.5 Prediction Model Adapting to Trend Changes
    Dong Jun Min, Hyerim Kim, Sangkyun Lee The Transactions of the Korea Information Processing Society, Vol. 13, No. 6, pp. 251-259, Jun. 2024
    https://doi.org/10.3745/TKIPS.2024.13.6.251
    Keywords: Particulate Matter, PM2.5, Time Series Forecast, Deep Learning, Ensemble


    Search Re-ranking Through Weighted Deep Learning Model
    Gi-Taek An, Woo-Seok Choi, Jun-Yong Park, Jung-Min Park, Kyung-Soon Lee The Transactions of the Korea Information Processing Society, Vol. 13, No. 5, pp. 221-226, May. 2024
    https://doi.org/10.3745/TKIPS.2024.13.5.221
    Keywords: Information Retrieval, Deep Learning Model, DeBERTa, Product Search


    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)


    Korean Ironic Expression Detector
    Seung Ju Bang, Yo-Han Park, Jee Eun Kim, Kong Joo Lee The Transactions of the Korea Information Processing Society, Vol. 13, No. 3, pp. 148-155, Mar. 2024
    https://doi.org/10.3745/TKIPS.2024.13.3.148
    Keywords: Irony Detection, KoBERT, ChatGPT, Transfer Learning, MultiTask Learning


    Autoencoder Based N-Segmentation Frequency Domain Anomaly Detection for Optimization of Facility Defect Identification
    Kichang Park, Yongkwan Lee The Transactions of the Korea Information Processing Society, Vol. 13, No. 3, pp. 130-139, Mar. 2024
    https://doi.org/10.3745/TKIPS.2024.13.3.130
    Keywords: Anomaly Detection, Prediction Maintenance, Autoencoder, Unsupervised learning, Frequency Domain


    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


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