A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the prediction interval) of the underlying distribution of prediction errors. The idea is to partition the input space into dif
Machine Learning Approaches for Prediction of Expansin Gene Family inIndicaRice
β Scribed by Hemalatha, N.; Rajesh, M. K.; Narayanan, N. K.
- Book ID
- 121597699
- Publisher
- Springer-Verlag
- Year
- 2013
- Tongue
- English
- Weight
- 278 KB
- Volume
- 2
- Category
- Article
- ISSN
- 2249-720X
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