A controlled sensing approach to graph classification

Keyphrases

• Sense of Control 100%
• Sensing Approach 100%
• Graph Classification 100%
• Error Rate 66%
• Number of Measurements 33%
• Error Probability 33%
• Error Performance 33%
• Asymptotically Optimal 33%
• Probability Model 33%
• Complete Graph 33%
• Misclassification Error 33%
• Hypothesis Testing Problem 33%
• Partial Observation 33%
• Composite Test 33%
• Target Error 33%
• Conditionally Independent 33%
• Optimal Error 33%
• Expected Stopping Time 33%
• Average Node Degree 33%

Mathematics

• Error Rate 100%
• Probability Theory 50%
• Probability Model 50%
• Complete Graph 50%
• stopping time τ 50%
• Hypothesis Testing Problem 50%
• Composite Hypothesis 50%
• Incident Edge 50%

Engineering

• Nodes 100%
• Error Rate 50%
• Error Performance 25%
• Classification Error 25%
• Complete Graph 25%