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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
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
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
Keywords: Referring Expression Comprehension, Deep Learning, Contextual Information, Weighted Composition