Lookahead Selective Sampling using a Distance Metric Based on Ensemble Clustering

Keyphrases

• Distance Metric 100%
• Metric Basis 100%
• Ensemble Clustering 100%
• Selective Sampling 100%
• Large Set 40%
• Learning Algorithm 40%
• Training Data 40%
• Training Examples 40%
• Order of Magnitude 20%
• Active Learning Approach 20%
• Real Environment 20%
• Sampling Methods 20%
• Sampling Methodology 20%
• Color Image 20%
• Common Traits 20%
• Nearest Neighbor 20%
• Active Learning 20%
• Number of Points 20%
• Equivalence Class 20%
• Expected Utility 20%
• Euclidean Distance 20%
• Cluster-based 20%
• Clustering Results 20%
• Geometric Distance 20%
• Inter-class Distance 20%
• Nearest Neighbor Classifier 20%
• I. INTRODUCTION 20%
• Classifica-tion 20%
• Basic Standard 20%
• Active Learning Algorithm 20%
• Supervised Learning Algorithms 20%

Computer Science

• Distance Metric 100%
• Learning Algorithm 100%
• Labeled Example 75%
• Active Learning 75%
• Unlabeled Example 75%
• Training Dataset 50%
• Training Example 50%
• Learning Approach 25%
• Supervised Learning 25%
• Euclidean Distance 25%
• Clustering Result 25%
• Geometric Distance 25%
• Equivalence Class 25%
• Sampling Technique 25%
• Nearest Neighbors Classifier 25%
• Neighbor Classifier 25%