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Towards Practical Active Learning for Classification
Yazhou Yang
Pattern Recognition and Bioinformatics
Research output
:
Thesis
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Dissertation (TU Delft)
315
Downloads (Pure)
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Dive into the research topics of 'Towards Practical Active Learning for Classification'. Together they form a unique fingerprint.
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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%
Real World
20%
Class
20%
Annotation
20%
World Application
20%
Probability
10%
Data Instance
10%
Good Performance
10%
Learning Performance
10%
Research Direction
10%
Logistic Regression
10%
Posterior Probability
10%
Real-World Problem
10%
Learning Algorithm
10%
Class Classification
10%
Benchmark
10%
Classification Task
10%
Potential Benefit
10%
Chemical Engineering
Learning System
100%
Keyphrases
Active Learning Algorithm
12%
Estimated Posterior Probabilities
12%
Predictive Probability
12%
Unlabeled Instances
12%
Activity-dependent Labeling
12%
Failed Case
12%
Interactive Labeling
12%