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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 2351–2360 of 3304 papers

Title	Date	Tasks	Status	Hype
catch22: CAnonical Time-series CHaracteristics	Jan 29, 2019	ClassificationClustering	CodeCode Available	1
Representation Transfer for Differentially Private Drug Sensitivity Prediction	Jan 29, 2019	BIG-bench Machine LearningCancer type classification	—Unverified	0
Diseño de un espacio semántico sobre la base de la Wikipedia. Una propuesta de análisis de la semántica latente para el idioma español	Jan 28, 2019	Dimensionality Reduction	—Unverified	0
Stochastic Linear Bandits with Hidden Low Rank Structure	Jan 28, 2019	Decision MakingDimensionality Reduction	—Unverified	0
On the cross-validation bias due to unsupervised pre-processing	Jan 25, 2019	Dimensionality Reductionfeature selection	CodeCode Available	0
Comparing of Term Clustering Frameworks for Modular Ontology Learning	Jan 25, 2019	ClusteringDimensionality Reduction	—Unverified	0
Empowering individual trait prediction using interactions	Jan 25, 2019	Dimensionality ReductionEpidemiology	—Unverified	0
Unsupervised speech representation learning using WaveNet autoencoders	Jan 25, 2019	Acoustic Unit DiscoveryDecoder	CodeCode Available	1
Coupling the reduced-order model and the generative model for an importance sampling estimator	Jan 23, 2019	Dimensionality Reductionmodel	—Unverified	0
Computer Vision and Metrics Learning for Hypothesis Testing: An Application of Q-Q Plot for Normality Test	Jan 23, 2019	Dimensionality ReductionMetric 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