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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 1881–1890 of 3304 papers

Title	Date	Tasks	Status	Hype
Optimal High-order Tensor SVD via Tensor-Train Orthogonal Iteration	Oct 6, 2020	Dimensionality ReductionVocal Bursts Intensity Prediction	CodeCode Available	0
Parameter Optimization using high-dimensional Bayesian Optimization	Oct 5, 2020	Bayesian OptimizationDimensionality Reduction	—Unverified	0
Algorithms for Nonnegative Matrix Factorization with the Kullback-Leibler Divergence	Oct 5, 2020	Dimensionality Reduction	CodeCode Available	0
Factorized Discriminant Analysis for Genetic Signatures of Neuronal Phenotypes	Oct 5, 2020	Dimensionality ReductionRepresentation Learning	CodeCode Available	0
Bayesian Feature Selection in Joint Quantile Time Series Analysis	Oct 4, 2020	Dimensionality Reductionfeature selection	—Unverified	0
Extreme-SAX: Extreme Points Based Symbolic Representation for Time Series Classification	Oct 2, 2020	Dimensionality ReductionGeneral Classification	—Unverified	0
Nonsmoothness in Machine Learning: specific structure, proximal identification, and applications	Oct 2, 2020	BIG-bench Machine LearningDimensionality Reduction	—Unverified	0
Modifying the Symbolic Aggregate Approximation Method to Capture Segment Trend Information	Oct 2, 2020	Dimensionality ReductionTime Series	—Unverified	0
Deep matrix factorizations	Oct 1, 2020	Dimensionality Reduction	—Unverified	0
Facilitate the Parametric Dimension Reduction by Gradient Clipping	Sep 30, 2020	Dimensionality Reduction	—Unverified	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