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Spatial Analysis Made Easy with Linear Regression and Kernels

Spatial Analysis Made Easy with Linear Regression and Kernels

22 February 2019
Philip Milton
E. Giorgi
Samir Bhatt
ArXivPDFHTML

Papers citing "Spatial Analysis Made Easy with Linear Regression and Kernels"

3 / 3 papers shown
Title
An Adaptive Kernel Approach to Federated Learning of Heterogeneous
  Causal Effects
An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects
Thanh Vinh Vo
Arnab Bhattacharyya
Young Lee
Tze-Yun Leong
FedML
21
19
0
01 Jan 2023
Scalable high-resolution forecasting of sparse spatiotemporal events
  with kernel methods: a winning solution to the NIJ "Real-Time Crime
  Forecasting Challenge"
Scalable high-resolution forecasting of sparse spatiotemporal events with kernel methods: a winning solution to the NIJ "Real-Time Crime Forecasting Challenge"
Seth Flaxman
Michael Chirico
Pau Pereira
Charles E. Loeffler
13
50
0
09 Jan 2018
Sharp analysis of low-rank kernel matrix approximations
Sharp analysis of low-rank kernel matrix approximations
Francis R. Bach
86
277
0
09 Aug 2012
1