Advancing Affect Modeling via Preference Learning and Unsupervised Feature Extraction

Teknik og materialevidenskab

• Feature extraction 100%
• Computer simulation 71%
• Neural networks 52%
• Electric fuses 44%
• Deep learning 38%
• Support vector machines 34%
• Communication 21%
• Experiments 15%