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Search: "[ keyword: Machine Learning ]" (76)
    Design of Adaptive Electronic Commerce Agents Using Machine Learning Techniques
    Hey Jung Baek , Young Tack Park The KIPS Transactions:PartB , Vol. 9, No. 6, pp. 775-782, Dec. 2002
    10.3745/KIPSTB.2002.9.6.775


    A Machine Learning Approach to Web Image Classification
    Soo Sun Cho , Dong Woo Lee , Dong Won Han , Chi Jung Hwang The KIPS Transactions:PartB , Vol. 9, No. 6, pp. 759-764, Dec. 2002
    10.3745/KIPSTB.2002.9.6.759


    Improving Text Categorization with High Quality Bigrams
    Chan Do Lee, Chade Meng Tan, Yuan Fang Wang The KIPS Transactions:PartB , Vol. 9, No. 4, pp. 415-420, Aug. 2002
    10.3745/KIPSTB.2002.9.4.415


    Semantic Aspects of Negation as Schema
    Kang Soo Tae The KIPS Transactions:PartB , Vol. 9, No. 1, pp. 23-28, Feb. 2002
    10.3745/KIPSTB.2002.9.1.23


    A Learning Agent for Automatic Bookmark Classification
    In Cheol Kim, Soo Sun Cho The KIPS Transactions:PartB , Vol. 8, No. 5, pp. 455-462, Oct. 2001
    10.3745/KIPSTB.2001.8.5.455


    Terminology Recognition System based on Machine Learning for Scientific Document Analysis
    Yun Soo Choi , Sa Kwang Song , Hong Woo Chun , Chang Hoo Jeong , Sung Pil Choi The KIPS Transactions:PartD, Vol. 18, No. 5, pp. 329-338, Oct. 2011
    10.3745/KIPSTD.2011.18.5.329


    Estimation of software project effort with genetic algorithm and support vector regression
    Ki Tae Kwon , Soo Kwon Park The KIPS Transactions:PartD, Vol. 16, No. 5, pp. 729-736, Oct. 2009
    10.3745/KIPSTD.2009.16.5.729


    A Distinction Technology for Harmful Web Documents by Rates
    Young Soo Kim , Taek Yong Nam , Dong Ho Won The KIPS Transactions:PartC, Vol. 13, No. 7, pp. 859-864, Dec. 2006
    10.3745/KIPSTC.2006.13.7.859


    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)


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