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Construction of an off-centered entropy for the supervised learning of imbalanced classes: some first results
- Source :
- Communications in Statistics-Theory and Methods, Communications in Statistics-Theory and Methods, Taylor & Francis, 2010, 39 (3), pp.493-507
- Publication Year :
- 2010
- Publisher :
- HAL CCSD, 2010.
-
Abstract
- In supervised learning, especially in decision tree induction, many measures are based on the concept of entropy. A major characteristic of entropies is that they take their maximal value when the ...
- Subjects :
- Computer Science::Machine Learning
Statistics and Probability
Decision tree
Data_CODINGANDINFORMATIONTHEORY
02 engineering and technology
Machine learning
computer.software_genre
01 natural sciences
Joint entropy
Rényi entropy
010104 statistics & probability
[INFO.INFO-CY]Computer Science [cs]/Computers and Society [cs.CY]
Statistics
0202 electrical engineering, electronic engineering, information engineering
Mathematics::Metric Geometry
Entropy (information theory)
0101 mathematics
ComputingMilieux_MISCELLANEOUS
Mathematics
business.industry
Principle of maximum entropy
Supervised learning
TheoryofComputation_GENERAL
[ INFO.INFO-CY ] Computer Science [cs]/Computers and Society [cs.CY]
[INFO.INFO-CY] Computer Science [cs]/Computers and Society [cs.CY]
Maximum entropy probability distribution
020201 artificial intelligence & image processing
Transfer entropy
Artificial intelligence
business
computer
Subjects
Details
- Language :
- English
- ISSN :
- 03610926 and 1532415X
- Database :
- OpenAIRE
- Journal :
- Communications in Statistics-Theory and Methods, Communications in Statistics-Theory and Methods, Taylor & Francis, 2010, 39 (3), pp.493-507
- Accession number :
- edsair.doi.dedup.....7fa64f1a6c8e2539c6c528296e818b40