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On the Effect of Spatially Non-Disjoint Training and Test Samples on Estimated Model Generalization Capabilities in Supervised Classification With Spatial Features
Research article (IEEE Geoscience and Remote Sensing Letters, 2017) · cited 42× · AI/ML
On the Effect of Spatially Non-Disjoint Training and Test Samples on Estimated Model Generalization Capabilities in Supervised Classification With Spatial Features
Summary
On the Effect of Spatially Non-Disjoint Training and Test Samples on Estimated Model Generalization Capabilities in Supervised Classification With Spatial Features is a scholarly article[1].
Key Facts
On the Effect of Spatially Non-Disjoint Training and Test Samples on Estimated Model Generalization Capabilities in Supervised Classification With Spatial Features's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). On the Effect of Spatially Non-Disjoint Training and Test Samples on Estimated Model Generalization Capabilities in Supervised Classification With Spatial Features. Retrieved May 24, 2026, from https://4ort.xyz/entity/on-the-effect-of-spatially-non-disjoint-training-and-test-samples-on-estimated-model-generalization-capabilities-in-supe
MLA“On the Effect of Spatially Non-Disjoint Training and Test Samples on Estimated Model Generalization Capabilities in Supervised Classification With Spatial Features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/on-the-effect-of-spatially-non-disjoint-training-and-test-samples-on-estimated-model-generalization-capabilities-in-supe.
BibTeX@misc{4ortxyz_on-the-effect-of-spatially-non-disjoint-training-and-test-samples-on-estimated-model-generalization-capabilities-in-supe_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{On the Effect of Spatially Non-Disjoint Training and Test Samples on Estimated Model Generalization Capabilities in Supervised Classification With Spatial Features}}, year = {2026}, url = {https://4ort.xyz/entity/on-the-effect-of-spatially-non-disjoint-training-and-test-samples-on-estimated-model-generalization-capabilities-in-supe}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): On the Effect of Spatially Non-Disjoint Training and Test Samples on Estimated Model Generalization Capabilities in Supervised Classification With Spatial Features — https://4ort.xyz/entity/on-the-effect-of-spatially-non-disjoint-training-and-test-samples-on-estimated-model-generalization-capabilities-in-supe (retrieved 2026-05-24)
