hingeboost

• Date

  2019.04.19

• Speaker

  박기범

[190405 이재호] A Unified Approach to Interpreting Model Predictions

• Date

  2019.04.05

• Speaker

  이재호

[190405 석슬기] Unknown Examples & Machine Learning Model Generalization

• Date

  2019.04.05

• Speaker

  석슬기

[190405 본혁] A method for autonomous data partitioning

• Date

  2019.04.05

• Speaker

  구본혁

[190322 본혁] Kernel based adaptive synthetic data generation for imbalanced learning

• Date

  2019.03.22

• Speaker

  구본혁

clustering based undersampling in class imbalanced data

• Date

  2019.03.29

• Speaker

  박연탁

김현호 Partial least square Regression

• Date

  2019.03.29

• Speaker

  김현호

재호 Why Should I Trust You; Explaining the Predictions of Any Classifier

• Date

  2019.03.22

• Speaker

  이재호

이두열, Sampling Method for Fast Training of Support Vector

• Date

  2019.03.22

• Speaker

  이두열

[190322 석슬기] Explaining the success of AdaBoost and Random forests as interpolating classifiers

• Date

  2019.03.22

• Speaker

  석슬기

이재호, Regression Aspects of Canonical Correlation

• Date

  2018.11.29

• Speaker

  이재호

이두열, Efficient Unsupervised Parameter Estimation for OCSVM

• Date

  2018.11.29

• Speaker

  이두열