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A Regularized Attribute Weighting Framework for Naive Bayes
Shihe Wang,
Jianfeng Ren
,
Ruibin Bai
School of Computer Science
Research output
:
Journal Publication
›
Article
›
peer-review
16
Citations (Scopus)
72
Downloads (Pure)
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Computer Science
Good Performance
100%
Generalization Performance
100%
Training Dataset
50%
Machine Learning
50%
Naive Bayes Method
50%
Bayesian Classification
50%
Regularization Term
50%
Data Characteristic
50%
Conditional Independence
50%
Covariance Matrix
50%
Attribute Weight
50%
Regularization
50%
Classification Framework
50%
Keyphrases
Attribute Weight
100%
Naïve Bayes
100%
Generalization Performance
40%
Class-specific
40%
Generalization Ability
40%
Weighted Naive Bayes
40%
Machine Learning
20%
Training Data
20%
Derived Model
20%
Regularization Term
20%
Benchmark Dataset
20%
Classification Framework
20%
Bayesian Classification
20%
Discrimination Power
20%
Regularization Method
20%
Weighting Scheme
20%
Naïve Bayes Method
20%
Conditional Independence
20%
Naïve Bayes Approach
20%
Well-balancing
20%
Data Characteristics
20%
Power Capability
20%
Covariance Matrix
20%