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Search: "[ keyword: Machine Learning ]" (78)
A Study on Machine Learning Algorithm Suitable for Automatic Crack Detection in Wall-Climbing Robot
Jae-Min Park, Hyun-Seop Kim, Dong-Ho Shin, Myeong-Suk Park, Sang-Hoon Kim KIPS Transactions on Software and Data Engineering,
Vol. 8, No. 11, pp. 449-456,
Nov.
2019
https://doi.org/10.3745/KTSDE.2019.8.11.449
Keywords: Wall-Climbing Robot, Crack Detection Algorithms, Machine Learning, localization
https://doi.org/10.3745/KTSDE.2019.8.11.449
Keywords: Wall-Climbing Robot, Crack Detection Algorithms, Machine Learning, localization
Prediction Model for Hypertriglyceridemia Based on Naive Bayes Using Facial Characteristics
Lee Juwon, Lee Bum Ju KIPS Transactions on Software and Data Engineering,
Vol. 8, No. 11, pp. 433-440,
Nov.
2019
https://doi.org/10.3745/KTSDE.2019.8.11.433
Keywords: Machine Learning, Facial Characteristics, Hypertriglyceridemia, Predictive model
https://doi.org/10.3745/KTSDE.2019.8.11.433
Keywords: Machine Learning, Facial Characteristics, Hypertriglyceridemia, Predictive model
A Study on the Comparison of Learning Performance in Capsule Endoscopy by Generating of PSR-Weigted Image
Changnam Lim, Ye-Seul Park, Jung-Won Lee KIPS Transactions on Software and Data Engineering,
Vol. 8, No. 6, pp. 251-256,
Jun.
2019
https://doi.org/10.3745/KTSDE.2019.8.6.251
Keywords: Machine Learning, Diagnostic Assistant, Medical Lmages, Capsule Endoscopy
https://doi.org/10.3745/KTSDE.2019.8.6.251
Keywords: Machine Learning, Diagnostic Assistant, Medical Lmages, Capsule Endoscopy
Performance Comparison of Machine Learning Algorithms for TAB Digit Recognition
Jaehyeok Heo, Hyunjung Lee, Doosung Hwang KIPS Transactions on Software and Data Engineering,
Vol. 8, No. 1, pp. 19-26,
Jan.
2019
https://doi.org/10.3745/KTSDE.2019.8.1.19
Keywords: Digit Recognition, Machine Learning, Prototype Selection, image processing, Cross-Validation
https://doi.org/10.3745/KTSDE.2019.8.1.19
Keywords: Digit Recognition, Machine Learning, Prototype Selection, image processing, Cross-Validation
Prediction of Cryptocurrency Price Trend Using Gradient Boosting
Joo-Seong Heo, Do-Hyung Kwon, Ju-Bong Kim, Youn-Hee Han, Chae-Hun An KIPS Transactions on Software and Data Engineering,
Vol. 7, No. 10, pp. 387-396,
Oct.
2018
10.3745/KTSDE.2018.7.10.387
Keywords: Price Prediction, Cryptocurrency, Machine Learning, Supervised Learning, Gradient Boosting
10.3745/KTSDE.2018.7.10.387
Keywords: Price Prediction, Cryptocurrency, Machine Learning, Supervised Learning, Gradient Boosting
Logistic Regression Ensemble Method for Extracting Significant Information from Social Texts
Kim So Hyeon, Kim Han Joon KIPS Transactions on Software and Data Engineering,
Vol. 6, No. 5, pp. 279-284,
May.
2017
10.3745/KTSDE.2017.6.5.279
Keywords: Machine Learning, Information Extraction, Ensemble, Logistic Regression, Social Media
10.3745/KTSDE.2017.6.5.279
Keywords: Machine Learning, Information Extraction, Ensemble, Logistic Regression, Social Media
Feedback-RFC Model to Individualize Heartbeat Standards
Taehyun Kim, Pilsu Jung, Seonah Lee, Ki-Sook Chung, Changsup Keum, Sungwon Kang KIPS Transactions on Software and Data Engineering,
Vol. 6, No. 2, pp. 91-102,
Feb.
2017
10.3745/KTSDE.2017.6.2.91
Keywords: Smart Fitness, Machine Learning, Feedback
10.3745/KTSDE.2017.6.2.91
Keywords: Smart Fitness, Machine Learning, Feedback
Development of a Simulation Prediction System Using Statistical Machine Learning Techniques
Ki Yong Lee, YoonJae Shin, YeonJeong Choe, SeonJeong Kim, Young-Kyoon Suh, Jeong Hwan Sa, JongSuk Luth Lee, Kum Won Cho KIPS Transactions on Software and Data Engineering,
Vol. 5, No. 11, pp. 593-606,
Nov.
2016
10.3745/KTSDE.2016.5.11.593
Keywords: Simulation, Simulation Result Prediction, Statistical Machine Learning
10.3745/KTSDE.2016.5.11.593
Keywords: Simulation, Simulation Result Prediction, Statistical Machine Learning
Korean Semantic Role Labeling Based on Suffix StructureAnalysis and Machine Learning
Miran Seok, Yu-Seop Kim KIPS Transactions on Software and Data Engineering,
Vol. 5, No. 11, pp. 555-562,
Nov.
2016
10.3745/KTSDE.2016.5.11.555
Keywords: Semantic Role Labeling, Suffix Structure Analysis, Josa, Eomi, Machine Learning, Support Vector Machine, Conditional Random Fields
10.3745/KTSDE.2016.5.11.555
Keywords: Semantic Role Labeling, Suffix Structure Analysis, Josa, Eomi, Machine Learning, Support Vector Machine, Conditional Random Fields
Automated Scoring System for Korean Short-Answer Questions Using Predictability and Unanimity
Min-Ah Cheon, Chang-Hyun Kim, Jae-Hoon Kim, Eun-Hee Noh, Kyung-Hee Sung, Mi-Young Song KIPS Transactions on Software and Data Engineering,
Vol. 5, No. 11, pp. 527-534,
Nov.
2016
10.3745/KTSDE.2016.5.11.527
Keywords: Machine Learning, Korean Automated-Scoring System, Unanimity, Predictability, Natural Language Processing
10.3745/KTSDE.2016.5.11.527
Keywords: Machine Learning, Korean Automated-Scoring System, Unanimity, Predictability, Natural Language Processing