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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 2761–2770 of 3304 papers

Title	Date	Tasks	Status	Hype
Modified Genetic Algorithm for Feature Selection and Hyper Parameter Optimization: Case of XGBoost in Spam Prediction	Oct 30, 2023	Dimensionality Reductionfeature selection	CodeCode Available	0
Detecting Adversarial Examples through Nonlinear Dimensionality Reduction	Apr 30, 2019	Density EstimationDimensionality Reduction	CodeCode Available	0
Implicit Neural Representations for Simultaneous Reduction and Continuous Reconstruction of Multi-Altitude Climate Data	Sep 25, 2024	Dimensionality ReductionSuper-Resolution	CodeCode Available	0
Encoding large information structures in linear algebra and statistical models	Jan 15, 2022	Dimensionality Reductionparameter estimation	CodeCode Available	0
Manifold Fitting under Unbounded Noise	Sep 23, 2019	Dimensionality Reduction	CodeCode Available	0
Spherical Rotation Dimension Reduction with Geometric Loss Functions	Apr 23, 2022	Dimensionality Reduction	CodeCode Available	0
A Grid-based Method for Removing Overlaps of Dimensionality Reduction Scatterplot Layouts	Mar 8, 2019	Dimensionality Reduction	CodeCode Available	0
Bayesian Non-stationary Linear Bandits for Large-Scale Recommender Systems	Feb 7, 2022	Decision MakingDimensionality Reduction	CodeCode Available	0
Designing Illuminant Spectral Power Distributions for Surface Classification	Jul 1, 2017	ClassificationDimensionality Reduction	CodeCode Available	0
Spherinator and HiPSter: Representation Learning for Unbiased Knowledge Discovery from Simulations	Jun 6, 2024	Dimensionality ReductionRepresentation Learning	CodeCode Available	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