Inflated Uncertainty in Multimodel‐Based Regional Climate Projections
Sign Up to like & getrecommendations! Published in 2017 at "Geophysical Research Letters"
DOI: 10.1002/2017gl075627
Abstract: Abstract Multimodel ensembles are widely analyzed to estimate the range of future regional climate change projections. For an ensemble of climate models, the result is often portrayed by showing maps of the geographical distribution of… read more here.
Keywords: multimodel; uncertainty multimodel; inflated uncertainty; climate ... See more keywords
A Multimodel-Based Deep Learning Framework for Short Text Multiclass Classification with the Imbalanced and Extremely Small Data Set
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/7183207
Abstract: Text classification plays an important role in many practical applications. In the real world, there are extremely small datasets. Most existing methods adopt pretrained neural network models to handle this kind of dataset. However, these… read more here.
Keywords: classification; extremely small; layer; framework ... See more keywords