Spatial analysis made easy with linear regression and kernels
• Many kernel methods are only suitable for small/medium sized spatial problems. • Random Fourier features speeds up kernel method with a minimal drop in accuracy. • This speedup lets us efficiently work with large spatial problems. • They can be added into many common spatial methods with only a fe...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Milton, Philip [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2019 |
|---|
| Schlagwörter: |
|---|
| Übergeordnetes Werk: |
Enthalten in: P517: Vitamin D deficiency and frailty criteria - Mejri, M.E.D. ELSEVIER, 2014, the journal of infectious disease dynamics, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:29 ; year:2019 ; pages:0 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.epidem.2019.100362 |
|---|
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ELV048652172 |
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| 520 | |a • Many kernel methods are only suitable for small/medium sized spatial problems. • Random Fourier features speeds up kernel method with a minimal drop in accuracy. • This speedup lets us efficiently work with large spatial problems. • They can be added into many common spatial methods with only a few lines of code. | ||
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• Many kernel methods are only suitable for small/medium sized spatial problems. • Random Fourier features speeds up kernel method with a minimal drop in accuracy. • This speedup lets us efficiently work with large spatial problems. • They can be added into many common spatial methods with only a few lines of code. |
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• Many kernel methods are only suitable for small/medium sized spatial problems. • Random Fourier features speeds up kernel method with a minimal drop in accuracy. • This speedup lets us efficiently work with large spatial problems. • They can be added into many common spatial methods with only a few lines of code. |
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• Many kernel methods are only suitable for small/medium sized spatial problems. • Random Fourier features speeds up kernel method with a minimal drop in accuracy. • This speedup lets us efficiently work with large spatial problems. • They can be added into many common spatial methods with only a few lines of code. |
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Spatial analysis made easy with linear regression and kernels |
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