Maximum Entropy Density Estimation with Incomplete Data
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Summary
This work proposes a natural generalization of Regularized Maximum Entropy Density Estimation (maxent) to handle input data with unknown values to avoid the two-step process and handles unknown values directly in the maximum entropy formulation.
- Type
- article
- Published
- 2007-01-01
- Cited by
- 1
- References
- 5
- OpenAlex
- https://openalex.org/W19049379
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:17068648
Keywords
Principle of maximum entropy, Mathematics, Entropy (arrow of time), Feature selection, Data set
References
- A maximum entropy approach to species distribution modeling
- UCI Repository of machine learning databases
- Analysis of Incomplete Climate Data: Estimation of Mean Values and Covariance Matrices and Imputation of Missing Values.
- UCI Repository of Machine Learning Database
- Performance Guarantees for Regularized Maximum Entropy Density Estimation
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