An aggregate and iterative disaggregate algorithm with proven optimality in machine learning - 김태흥

• Date

  2017.10.19

• Speaker

  김태흥

Cost-sensitive boosting algorithms Do we really need - 박연탁

• Date

  2017.09.22

• Speaker

  박연탁

Reinforcement learning in feedback control Challenges and benchmarks from technical process control - 김태흥

• Date

  2017.09.21

• Speaker

  김태흥

Using iterated bagging to debias regressions - 석슬기

• Date

  2017.09.15

• Speaker

  석슬기

Loda; Lightweight on-line detector of anomalies - 하지현

• Date

  2017.09.13

• Speaker

  하지현

Semi-supervised graph clustering; a kernel approach - 김태흥

• Date

  2017.09.08

• Speaker

  김태흥

Unsupervised feature selection with ensemble learning - 석슬기

• Date

  2017.09.01

• Speaker

  석슬기

Supervised Learning-Based Collaborative Filtering Using Market Basket Data for the Cold-Start Problem

• Date

  2017.05.12

• Speaker

  구본성

Sparse autoencoder

• Date

  2017.06.05

• Speaker

  박연탁

Introduction to Learning with Concept Drift

• Date

  2017.04.14

• Speaker

  하지현

Diversity Regularized Ensemble Pruning

• Date

  2017.06.09

• Speaker

  석슬기