TKIPS

Semantic Aspects of Negation as Schema

Kang Soo Tae
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
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

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
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
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
Vol. 13, No. 6, pp. 260-268, Jun. 2024

https://doi.org/10.3745/TKIPS.2024.13.6.260

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
Vol. 13, No. 5, pp. 217-220, May 2024

https://doi.org/10.3745/TKIPS.2024.13.5.217

Earthquake

Earthquake Damage Prediction

Machine Learning(ml)

Accelerating the EM Algorithm through Selective Sampling for Naive Bayes Text Classifier

Jae Young Chang Han Joon Kim
Vol. 13, No. 3, pp. 369-376, Jun. 2006

10.3745/KIPSTD.2006.13.3.369

Systematic Research on Privacy-Preserving Distributed Machine Learning

Min Seob Lee Young Ah Shin Ji Young Chun
Vol. 13, No. 2, pp. 76-90, Feb. 2024

https://doi.org/10.3745/TKIPS.2024.13.2.76

Distributed Machine Learning

Privacy-Preserving Technologies

Federated learning

Swarm Learning

Performance Evaluation on the Learning Algorithm for Automatic Classification of Q&A Documents

Choi Jung-Min Lee Byoung-Soo
Vol. 13, No. 1, pp. 133-138, Feb. 2006

http://dx.doi.org/10.3745/KIPSTD.2006.13D.1.133

eCRM

Document Classification

Machine Learning

Digital Library[ Search Result ]

Semantic Aspects of Negation as Schema

A Learning Agent for Automatic Bookmark Classification

Terminology Recognition System based on Machine Learning for Scientific Document Analysis

Estimation of software project effort with genetic algorithm and support vector regression

A Distinction Technology for Harmful Web Documents by Rates

Cox Model Improvement Using Residual Blocks in Neural Networks: A Study on the Predictive Model of Cervical Cancer Mortality

Evaluating the Efficiency of Models for Predicting Seismic Building Damage

Accelerating the EM Algorithm through Selective Sampling for Naive Bayes Text Classifier

Systematic Research on Privacy-Preserving Distributed Machine Learning

Performance Evaluation on the Learning Algorithm for Automatic Classification of Q&A Documents

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