… numbers of crop types or relied on expert knowledge and … to understand how well our
model predicts crop type classes in … Their match between mapped and statistically estimated …

… truth, and model classification results show that our predicted IWPs closely matched ground-…
We would like to thank Torre Jorgenson and Mikhail Kanevskiy for their domain expertise …

… maps image features into the input space of language model, … match the input distribution
of the weights in the deep layers. … We only consider the loss of the next token prediction in the “…

… of the growing fields of expertise in landscape ecology, and … of different connectivity models
to predict wildlife movement … (polygons that did not match previous criteria such as power …

… We suggest that experts should optimize their time spent … Species distribution models and
abundance models, … confidence surrounding a given species modeled range map. This is …

… GANs are generative models that learn a mapping from … predicting, and it will generate an
array of labels with 0 for benign and 1 for malignant. Later the predicted label array is matched …

… model prediction accuracy was tested using a wide range of … These covariates were identified
based on expert knowledge … research is an excellently matched algorithm to the specific …

… which was slightly better than expert predictions on the same matches. It was suggested that…
as features, and matches from previous seasons could be used for model training. David et …

… In this study, four data mining models were adapted to construct a flood susceptibility
map using remote sensing and GIS tools. These techniques are boosted regression tree (BRT), …

… IUCN and Birdlife International range map polygons for all … requires matching land uses to
the habitat needs of species at … the results of only one species distribution model method, as it …