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Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1821–1830 of 3304 papers

Title	Date	Tasks	Status	Hype
Bayesian Feature Selection in Joint Quantile Time Series Analysis	Oct 4, 2020	Dimensionality Reductionfeature selection	—Unverified	0
Perplexity-free Parametric t-SNE	Oct 3, 2020	Dimensionality Reduction	CodeCode Available	1
Effective Sample Size, Dimensionality, and Generalization in Covariate Shift Adaptation	Oct 2, 2020	Dimensionality ReductionDomain Adaptation	CodeCode Available	1
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
Extreme-SAX: Extreme Points Based Symbolic Representation for Time Series Classification	Oct 2, 2020	Dimensionality ReductionGeneral Classification	—Unverified	0
Deep matrix factorizations	Oct 1, 2020	Dimensionality Reduction	—Unverified	0
Evaluation of company investment value based on machine learning	Sep 30, 2020	BIG-bench Machine LearningDimensionality Reduction	—Unverified	0
Facilitate the Parametric Dimension Reduction by Gradient Clipping	Sep 30, 2020	Dimensionality Reduction	—Unverified	0
Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes	Sep 30, 2020	Dimensionality ReductionRepresentation Learning	—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