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Committee-Based Sample Selection for Probabilistic Classifiers
Shlomo Argamon-Engelson,
Ido Dagan
Department of Computer Science
Jerusalem College
Research output
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Contribution to journal
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Article
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peer-review
94
Scopus citations
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Keyphrases
Annotation Cost
50%
Classification Model
25%
Committee-based
100%
Computational Efficiency
25%
Learning Program
25%
Learning Task
25%
Model Variants
25%
Natural Language Processing
25%
Part-of
25%
Probabilistic Classification
50%
Probabilistic Classifier
100%
Probability Distribution
25%
Processing Task
25%
Query by Committee
25%
Real-time Learning
25%
Sample Selection
100%
Speech Tagging
25%
Training Set
25%
Mathematics
Empirical Bayes Procedure
100%
Learning Task
100%
Natural World
100%
Probability Distribution
100%
Stochastics
100%
Sufficient Number
100%
Training Set
100%
Computer Science
Annotation
100%
Classification Models
50%
Committee Member
50%
Computational Efficiency
50%
Labeled Example
50%
Natural Language Processing
50%
Parts Of Speech Tagging
50%
Processing Task
50%
Sufficient Number
50%
Unlabeled Example
50%
Social Sciences
Administrative Structure
100%
Natural Language Processing
16%
Sample selection
100%
Stochastics
16%
Neuroscience
Natural Language Processing
100%