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Search: "[ keyword: 분류기 ]" (3)

1. A research on the emotion classification and precision improvement of EEG(Electroencephalogram) data using machine learning algorithm

Hyunju Lee, Dongil Shin, Dongkyoo Shin, Vol. 20, No. 5, pp. 27-36, Oct. 2019
10.7472/jksii.2019.20.5.27
Keywords: DEAP dataset, ICA, Arousal-Valence plane, Random Forest, Attribute Selected Classifier
2. A Detection Model using Labeling based on Inference and Unsupervised Learning Method

Sung-Sam Hong, Dong-Wook Kim, Byungik Kim, Myung-Mook Han, Vol. 18, No. 1, pp. 65-76, Feb. 2017
10.7472/jksii.2017.18.1.65
Keywords: Labeling, Detection Model based on classification, Data Mining, Inference, Supervised/Unsupervised Learning, Security
3. Research on improving correctness of cardiac disorder data classifier by applying Best-First decision tree method

Hyun-Ju Lee, Dong-Kyoo Shin, Hee-Won Park, Soo-Han Kim, Dong-Il Shin, Vol. 12, No. 6, pp. 63-72, Dec. 2011
Keywords: ECG, classifier, R-R interval, SVM, MLP, Random Forest, B-F Tree, Accuracy