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Dimensionality Reduction

Dimensionality reduction is the task of reducing the dimensionality of a dataset.

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Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 3301–3304 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
Empowering individual trait prediction using interactions	Jan 25, 2019	Dimensionality ReductionEpidemiology	—Unverified	0	0
Emulating the dynamics of complex systems using autoregressive models on manifolds (mNARX)	Jun 28, 2023	Dimensionality Reduction	—Unverified	0	0
Emulators for stellar profiles in binary population modeling	Oct 14, 2024	Dimensionality Reduction	—Unverified	0	0
End-to-end translation of human neural activity to speech with a dual-dual generative adversarial network	Oct 13, 2021	Brain Computer InterfaceDecoder	—Unverified	0	0

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All datasets MCA EMNIST

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	UDRN	Classification Accuracy	90.9	—	Unverified
2	tSNE	Classification Accuracy	51.5	—	Unverified
3	IVIS	Classification Accuracy	46.6	—	Unverified
4	UMAP	Classification Accuracy	41.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UDRN	Classification Accuracy	71.1	—	Unverified
2	QS	Classification Accuracy	68	—	Unverified