ScholarWorks@Korea University: JUNG, YOON SUH

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JUNG, YOON SUH (정윤서)

College of Political Science & Economics (Department of Statistics)

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Tel 02-3290-2249
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Check loss:4||heteroscedasticity:3||model selection:3||BIC:3||deep learning:3||LSTM:3||variable selection:2||crossvalidation:2||Crossvalidation:2||GCV:2||딥러닝:2||Quantile regression:2||ANOVA:2||MMORPG:2||Variable selection:2||quantile regression:2||oracle property:1||tuning parameter:1||nonlinear regression:1||outliers:1||robust regression:1||highdimensional variables:1||biomarkers:1||Audio input representation:1||public bicycle policy:1||convolutional neural network (CNN):1||결함 패턴 분류:1||failure pattern detection:1||Neural networks:1||treebased models:1||penalized quantile regression:1||generalized additive models:1||시계열 군집 분석:1||vector autoregression:1||tuning parameter selection.:1||분위수 손실함수:1||분위수 회귀분석:1||GCV.:1||image data:1||계층적 군집 분석:1||hierarchical clustering:1||wafer bin map:1||ensemble learning:1||sparsity:1||exercise induced pulmonary haemorrhage:1||classification:1||Deep learning:1||data augmentation:1||Casespecific parameters:1||quantile smoothing spline:1||model assessment:1||neural network:1||spectrogram:1||recommender system:1||희박 행렬:1||조율 모수 선택:1||Sufficient dimension reduction:1||웨이퍼 빈 맵:1||convolution neural network:1||Extreme quantiles:1||Biasvariance tradeoff:1||group penalty:1||diverging number of parameters:1||AIC:1||다변량 시계열 분석:1||sparse data matrix:1||Kernel smoothing:1||Martingale:1||결함 패턴 탐지:1||failure pattern classification:1||ILSVRC.:1||churn prediction:1||Ensemble model:1||variance reduction:1||Highdimensional quantile regression:1||shrinkage estimator:1||Kfold crossvalidation:1||horse:1||공공자전거 운영 정책:1||서포트 벡터 회귀 모형:1||support vector regression:1||이분산성:1||Accelerated failure time model:1||ImageNet largescale visual recognition challenge (ILSVRC):1||SVM:1||게임봇 탐지:1||game bot detection:1||masked language modeling:1||High dimension:1||low rank:1||quantile regression spline:1||Model validation:1||automatic music transcription:1||time series clustering:1||autoencoder:1||AdamW:1||game analytics:1||BERT:1||quantile averaging:1||quantile crossing:1||Model selection:1||tuning parameter selection:1||오토인코더:1||추천 시스템:1||모형 선택:1||Survival analysis:1||앙상블 모델링:1||MMORPG.:1||Korean text classification:1||

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