Towards Practical Active Learning for Classification

INIS

• learning 100%
• classification 100%
• data 38%
• labelling 23%
• applications 15%
• machine learning 15%
• comparative evaluations 15%
• probability 15%
• performance 15%
• humans 15%
• availability 15%
• benchmarks 7%
• weight 7%
• resources 7%
• cost 7%
• algorithms 7%

Computer Science

• Active Learning 100%
• Machine Learning 20%
• Annotation 20%
• World Application 20%
• Data Instance 10%
• Current-State 10%
• Learning Performance 10%
• Research Direction 10%
• Real-World Problem 10%
• Class Classification 10%

Chemical Engineering

• Learning System 100%