[197] Inputs to working document towards a preliminary draft new Fascicle 3M/FAS/[ML] - Best practices for evaluating the generalization of machine learning-driven radio-wave propagation models

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[197] Inputs to working document towards a preliminary draft new Fascicle 3M/FAS/[ML] - Best practices for evaluating the generalization of machine learning-driven radio-wave propagation models

	Format	Size	Posted

English	Word	1897057 bytes	2026-05-22	[197] Part 1
	Word	1951746 bytes	2026-05-22	[197]

Document :	ITU-R R23-WP3K Contribution 197
Title :	Inputs to working document towards a preliminary draft new Fascicle 3M/FAS/[ML] - Best practices for evaluating the generalization of machine learning-driven radio-wave propagation models
Date :	2026-05-22
Source :	CG 3J-3K-3L-3M-27
Meeting :	2026-05-18
Access :	Restricted to TIES users [ITU-R]

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