Geostatistical Learning: Challenges and Opportunities

17 February 2021

Papers citing "Geostatistical Learning: Challenges and Opportunities"

6 / 6 papers shown

Title
Estimating the Prediction Performance of Spatial Models via Spatial k-Fold Cross Validation J. Pohjankukka T. Pahikkala P. Nevalainen J. Heikkonen 21 131 0 28 May 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 520 42,449 0 03 Dec 2019
Predicting the Generalization Gap in Deep Networks with Margin Distributions Yiding Jiang Dilip Krishnan H. Mobahi Samy Bengio UQCV 93 199 0 28 Sep 2018
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 342 4,629 0 10 Nov 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 433 18,361 0 27 May 2016
A survey of cross-validation procedures for model selection Sylvain Arlot Alain Celisse 213 3,596 0 27 Jul 2009