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Code for: Spatial Analysis Made Easy with Linear Regression and Kernels

Main Author: Milton, Philip
Other Authors: Bhatt, Samir, Giorgi, Emanuele
Format: Dataset
Terbitan: Mendeley , 2019
Subjects:
Mathematics
Kernel Method
Mapping
Linear Regression
Online Access: https:/data.mendeley.com/datasets/w3jhr6t8b4
ctrlnum 0.17632-w3jhr6t8b4.1
fullrecord <?xml version="1.0"?> <dc><creator>Milton, Philip</creator><title>Code for: Spatial Analysis Made Easy with Linear Regression and Kernels</title><publisher>Mendeley</publisher><description>Supplementary code for the paper Milton et al. - Spatial Analysis Made Easy with Linear Regression and Kernels (2019). </description><subject>Mathematics</subject><subject>Kernel Method</subject><subject>Mapping</subject><subject>Linear Regression</subject><contributor>Bhatt, Samir</contributor><contributor>Giorgi, Emanuele</contributor><type>Other:Dataset</type><identifier>10.17632/w3jhr6t8b4.1</identifier><rights>Public Domain Dedication</rights><rights>http://creativecommons.org/publicdomain/zero/1.0/</rights><relation>https:/data.mendeley.com/datasets/w3jhr6t8b4</relation><date>2019-09-24T22:33:02Z</date><recordID>0.17632-w3jhr6t8b4.1</recordID></dc>
format Other:Dataset
Other
author Milton, Philip
author2 Bhatt, Samir
Giorgi, Emanuele
title Code for: Spatial Analysis Made Easy with Linear Regression and Kernels
publisher Mendeley
publishDate 2019
topic Mathematics
Kernel Method
Mapping
Linear Regression
url https:/data.mendeley.com/datasets/w3jhr6t8b4
contents Supplementary code for the paper Milton et al. - Spatial Analysis Made Easy with Linear Regression and Kernels (2019).
id IOS7969.0.17632-w3jhr6t8b4.1
institution Universitas Islam Indragiri
affiliation onesearch.perpusnas.go.id
institution_id 804
institution_type library:university
library
library Teknologi Pangan UNISI
library_id 2816
collection Artikel mulono
repository_id 7969
city INDRAGIRI HILIR
province RIAU
shared_to_ipusnas_str 1
repoId IOS7969
first_indexed 2020-04-08T08:31:04Z
last_indexed 2020-04-08T08:31:04Z
recordtype dc
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score 17.538404

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