[190405 석슬기] Unknown Examples & Machine Learning Model Generalization
2019.04.05
석슬기
[190405 본혁] A method for autonomous data partitioning
구본혁
이두열, Exploiting the generative adversarial framework for one-class multi-dimensional fault detection
2019.04.04
이두열
[190322 본혁] Kernel based adaptive synthetic data generation for imbalanced learning
2019.03.22
clustering based undersampling in class imbalanced data
2019.03.29
박연탁
김현호 Partial least square Regression
김현호
When do random forest fail
박기범
재호 Why Should I Trust You; Explaining the Predictions of Any Classifier
이재호
이두열, Sampling Method for Fast Training of Support Vector
[190322 석슬기] Explaining the success of AdaBoost and Random forests as interpolating classifiers
SNN-CFSFDP
2018.11.28
한민석
이재호, Regression Aspects of Canonical Correlation
2018.11.29
이두열, Efficient Unsupervised Parameter Estimation for OCSVM
박기범, generalized learning vector quantization
구본혁, Classification of Imbalanced data by oversampling in kernel space of support vector machine
