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pro vyhledávání: '"Ryne Roady"'
Publikováno v:
PLoS ONE, Vol 15, Iss 9, p e0238302 (2020)
Supervised classification methods often assume the train and test data distributions are the same and that all classes in the test set are present in the training set. However, deployed classifiers often require the ability to recognize inputs from o
Externí odkaz:
https://doaj.org/article/fa4dec258c664f548d3bd6a3dde1e688
Publikováno v:
CVPR Workshops
Publikováno v:
PLoS ONE
PLoS ONE, Vol 15, Iss 9, p e0238302 (2020)
PLoS ONE, Vol 15, Iss 9, p e0238302 (2020)
Supervised classification methods often assume the train and test data distributions are the same and that all classes in the test set are present in the training set. However, deployed classifiers often require the ability to recognize inputs from o
Publikováno v:
Computer Vision – ECCV 2020 Workshops ISBN: 9783030664145
ECCV Workshops (1)
ECCV Workshops (1)
Supervised classification methods often assume that evaluation data is drawn from the same distribution as training data and that all classes are present for training. However, real-world classifiers must handle inputs that are far from the training
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa1234cdb3902a439725440f7ba58d27
https://doi.org/10.1007/978-3-030-66415-2_12
https://doi.org/10.1007/978-3-030-66415-2_12