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Search: "[ keyword: 기계 학습 ]" (15)
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
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
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
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
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
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
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
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Keywords: Cervical cancer, Survival Prediction Model, Cox Proportional Hazards, Machine Learning, Deep Neural Networks, ResNet
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
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Keywords: Distributed Machine Learning, Privacy-Preserving Technologies, Federated learning, Swarm Learning
An analysis of Speech Acts for Korean Using Support Vector Machines
Jong Min En , Song Wook Lee , Jung Yun Seo The KIPS Transactions:PartB ,
Vol. 12, No. 3, pp. 365-368,
Jun.
2005
10.3745/KIPSTB.2005.12.3.365
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Learning Data Model Definition and Machine Learning Analysis for Data-Based Li-Ion Battery Performance Prediction
Byoungwook Kim, Ji Su Park, Hong-Jun Jang KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 3, pp. 133-140,
Mar.
2023
https://doi.org/10.3745/KTSDE.2023.12.3.133
Keywords: Lithium-ion battery, Battery Performance Prediction, Machine Learning, Learning Data Model
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Keywords: Lithium-ion battery, Battery Performance Prediction, Machine Learning, Learning Data Model
Adaptive Strategy Game Engine Using Non-monotonic Reasoning and Inductive Machine Learning
Kim Je Min , Park Yeong Taeg The KIPS Transactions:PartB ,
Vol. 11, No. 1, pp. 83-90,
Feb.
2004
10.3745/KIPSTB.2004.11.1.83
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Research about feature selection that use heuristic function
Seok Mi Hong , Kyung Sook Jung , Tae Choong Chung The KIPS Transactions:PartB ,
Vol. 10, No. 3, pp. 281-286,
Jun.
2003
10.3745/KIPSTB.2003.10.3.281
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
1D CNN and Machine Learning Methods for Fall Detection
Inkyung Kim, Daehee Kim, Song Noh, Jaekoo Lee KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 3, pp. 85-90,
Mar.
2021
https://doi.org/10.3745/KTSDE.2021.10.3.85
Keywords: Machine Learning, Deep Learning, Fall Detection, 1D Convolutional Neural Network
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Keywords: Machine Learning, Deep Learning, Fall Detection, 1D Convolutional Neural Network