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The efficiency of logistic regression compared to normal discriminant analysis under class-conditional classification noise
Yingtao Bi, Daniel R. Jeske
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peer-review
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Dive into the research topics of 'The efficiency of logistic regression compared to normal discriminant analysis under class-conditional classification noise'. Together they form a unique fingerprint.
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Mathematics
Conditionals
100%
Logistic Regression
100%
Discriminant Analysis
100%
Classes
100%
Efficiency
100%
Error Rate
28%
Asymptotics
14%
Covariance Matrix
14%
Classification Problem
14%
Mahalanobis Distance
14%
Asymptotic Distribution
14%
Multivariate Normal
14%
INIS
efficiency
100%
comparative evaluations
100%
classification
100%
noise
100%
populations
25%
performance
25%
distance
25%
errors
25%
asymptotic solutions
25%
levels
12%
matrices
12%
distribution
12%
multivariate analysis
12%
Computer Science
Logistic Regression
100%
Classes
100%
Discriminant Analysis
100%
Classifier
57%
Procedures
28%
Real World
14%
Relative Performance
14%
Asymptotics
14%
Covariance Matrix
14%
Classification Problem
14%
Asymptotic Distribution
14%
Mahalanobis Distance
14%
Roles
14%
Contexts
14%