STELA_5분DJ - Google Jamboard
0. SUMMARY
1. INTRODUCTION
- Proposals
- Characteristic of MOOC Data
- Research Questions
- Overall Description of the Training work-flow
2. PROBLEM DESCRIPTION
- 2.1 Input Data Organization
- 2.2 Courses
- 2.3 Dropout Prediction
3. TRANSFER LEARNING
- 3.1 Transfer Learning Definition
- 3.2 Transfer Learning Methods
- 3.3 Auto-Encoders and Predictive Models
4. EXPERIMENTS
- 4.1 Transfer Learning Baselines
- 4.2 Model Selection