Digital Library


Search: "[ keyword: weight ]" (44)
    Query Expansion and Term Weighting Method for Document Filtering
    Sin Seung Eun , Kang Yu Hwan , O Hyo Jeong , Jang Myeong Gil , Park Sang Gyu , Lee Jae Seong , Seo Yeong Hun The KIPS Transactions:PartB , Vol. 10, No. 7, pp. 743-750, Dec. 2003
    10.3745/KIPSTB.2003.10.7.743


    A Study of Keyword Spotting System Based on the Weight of Non-Keyword Model
    Kim Hag Jin , Kim Sun Hyeob The KIPS Transactions:PartB , Vol. 10, No. 4, pp. 381-388, Aug. 2003
    10.3745/KIPSTB.2003.10.4.381


    The Study on Improvement of Cohesion of Clustering in Incremental Concept Learning
    Hey Jung Baek , Young Tack Park The KIPS Transactions:PartB , Vol. 10, No. 3, pp. 297-304, Jun. 2003
    10.3745/KIPSTB.2003.10.3.297


    A study of the load distributing algorithm on the heterogeneously clustered web system
    Lee Yeong The KIPS Transactions:PartA, Vol. 10, No. 3, pp. 225-230, Aug. 2003
    10.3745/KIPSTA.2003.10.3.225


    An Algorithm For Load-Sharing and Fault-Tolerance In Internet-Based Clustering Systems
    Choe In Bog , Lee Jae Dong The KIPS Transactions:PartA, Vol. 10, No. 3, pp. 215-224, Aug. 2003
    10.3745/KIPSTA.2003.10.3.215


    A Recommendation System of Exponentially Weighted Collaborative Filtering for Products in Electronic Commerce
    Kyung Hee Lee, Jeong Hye Han, Choon Seong Leem The KIPS Transactions:PartB , Vol. 8, No. 6, pp. 625-632, Dec. 2001
    10.3745/KIPSTB.2001.8.6.625


    A study of distributing the load of the LVS clustering system based on the dynamic weight
    Suk Chan Kim, Young Rhee The KIPS Transactions:PartA, Vol. 8, No. 4, pp. 299-310, Dec. 2001
    10.3745/KIPSTA.2001.8.4.299


    A Stock Price Prediction Based on Recurrent Convolution Neural Network with Weighted Loss Function
    HyunJin Kim, Yeon Sung Jung KIPS Transactions on Software and Data Engineering, Vol. 8, No. 3, pp. 123-128, Mar. 2019
    https://doi.org/10.3745/KTSDE.2019.8.3.123
    Keywords: Artificial intelligence, Recurrent Convolution Neural Network, Stock Price Prediction, Weighted Loss Function


    Incremental Ensemble Learning for The Combination of Multiple Models of Locally Weighted Regression Using Genetic Algorithm
    Kim Sang Hun, Chung Byung Hee, Lee Gun Ho KIPS Transactions on Software and Data Engineering, Vol. 7, No. 9, pp. 351-360, Sep. 2018
    10.3745/KTSDE.2018.7.9.351
    Keywords: Locally Weighted Regression, Multi Model Selection, Incremental Ensemble Learning, genetic algorithm


    ORMN: A Deep Neural Network Model for Referring Expression Comprehension
    Donghyeop Shin, Incheol Kim KIPS Transactions on Software and Data Engineering, Vol. 7, No. 2, pp. 69-76, Feb. 2018
    10.3745/KTSDE.2018.7.2.69
    Keywords: Referring Expression Comprehension, Deep Learning, Contextual Information, Weighted Composition