Results 261 to 270 of about 368,237 (276)
Some of the next articles are maybe not open access.
Revista Electrónica AnestesiaR
Overfitting occurs when an algorithm over-learns the details of the training data, capturing not only the essence of the relationship between them, but also the random noise that will always be present. This negatively affects its performance and its ability to generalize when we introduce new data, not seen during training.
openaire +1 more source
Overfitting occurs when an algorithm over-learns the details of the training data, capturing not only the essence of the relationship between them, but also the random noise that will always be present. This negatively affects its performance and its ability to generalize when we introduce new data, not seen during training.
openaire +1 more source
A study of overfitting in optimization of a manufacturing quality control procedure
Applied Soft Computing Journal, 2017Tea Tusar +2 more
exaly
Overfitting in linear feature extraction for classification of high-dimensional image data
Pattern Recognition, 2016exaly
Making better M axent models of species distributions: complexity, overfitting and evaluation
Journal of Biogeography, 2014Robert P Anderson
exaly