2023年8月31日 · To harness the complementary advantages of these statistical methods and deep learning approaches, this study proposes a novel geospatial artificial intelligence (GeoAI) …

2018年3月13日 · We take a first step in this direction and introduce the Deep k-Nearest Neighbors (DkNN). This hybrid classifier combines the k-nearest neighbors algorithm with …

We introduce the Deep k-Nearest Neighbors (DkNN) algorithm that measures the nonconformity of a prediction on a test input with the training data as an indirect estimate of the credibility of …

This is a pytorch implementation of DKNN: deep kriging neural network for interpretable geospatial interpolation

2019年12月27日 · Deep k-Nearest Neighbor （DkNN）是一个防御模型，它结合了 KNN 与 deeping learning 的方法。 关于 KNN ，当 K 很大或者数据维度很高时，由于缺少有效的攻击方 …

Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning 1.ABOUT THE AUTORNicolas Papernot and Patrick McDaniel Department of Computer …

*The material contained in this document is based upon work supported by a National Aeronautics and Space Administration (NASA) grant or cooperative agreement.

dknn：用于可解释地理空间插值的深度克里格神经网络 地理空间插值在空间分析中发挥着关键作用，因为它为各种时空数据挖掘（STDM）任务提供高质量的数据支持。

2024年8月22日 · DKNN: deep kriging neural network for interpretable geospatial interpolation. Int. J. Geogr. Inf. Sci. 38 (8): 1486-1530 (2024)

Deep k Nearest Neighbors, a kind of DL model. Contribute to HaoranShivs/DkNN development by creating an account on GitHub.