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Comparing learning methods for classification
Yuhong Yang
Statistics (Twin Cities)
Research output
:
Contribution to journal
›
Article
›
peer-review
32
Scopus citations
Overview
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Keyphrases
Learning Methods
100%
Confidence Interval
50%
Training Sample Size
50%
General Learning
50%
Parametric Regression
50%
Similarity Classifier
50%
Consistency Properties
50%
Data Splitting Ratio
50%
Mathematics
Cross-Validation
100%
Probability Theory
50%
Sufficient Condition
50%
Confidence Interval
50%
Training Sample
50%
Parametric Regression Model
50%
Positive Constant
50%
Computer Science
Cross-Validation
100%
Consistency Property
50%
Sufficient Condition
50%
Training Sample
50%
Positive Constant
50%