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Neurocomputing (Amsterdam), ISSN 0925-2312, 2016, Volume 184, pp. 232 - 242
.... In this paper, we try to investigate the dimensionality reduction ability of auto-encoder, and see if it has some kind of good property that might accumulate when being stacked and thus contribute... 
Dimensionality reduction | Visualization | Intrinsic dimensionality | Auto-encoder | Dimensionality-accuracy | CAPABILITIES | BOUNDS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | AUTOENCODER | Neural networks | Visualization (Computers) | Learning | Reduction | Construction | State of the art | Synthesis
Journal Article
Computer Methods in Applied Mechanics and Engineering, ISSN 0045-7825, 01/2015, Volume 283, pp. 1525 - 1544
.... The method is demonstrated for the shape optimization of a high-speed catamaran, based on CFD simulations and aimed at the reduction of the wave component of calm-water resistance... 
Hydrodynamic optimization | Design-space dimensionality reduction | Karhunen–Loève expansion | Simulation-based design | Shape optimization | Karhunen-Loève expansion | UNCERTAINTY QUANTIFICATION | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | MECHANICS | ENGINEERING, MULTIDISCIPLINARY | GENERALIZED SHAPE | Karhunen-Loeve expansion | COMPUTATIONAL FLUID-DYNAMICS | SHIP | GEOMETRY
Journal Article
The Annals of statistics, ISSN 0090-5364, 8/2009, Volume 37, Issue 4, pp. 1871 - 1905
Journal Article
European journal of operational research, ISSN 0377-2217, 2018, Volume 267, Issue 1, pp. 349 - 367
•Dimension-reduction method proposed for efficiency estimation.•Method substantially reduces estimation error in many cases... 
Dimension reduction | DEA | Dimensionality | FDH | Efficiency | FRONTIER ESTIMATION | DEA ESTIMATORS | PERFORMANCE | RETURNS | DATA ENVELOPMENT ANALYSIS | DETECTING OUTLIERS | BRANCHES | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | PRODUCTION EFFICIENCY | RELATIVE EFFICIENCY | SCALE
Journal Article
Renewable energy, ISSN 0960-1481, 2019, Volume 136, pp. 805 - 818
Journal Article
Theoretical Computer Science, ISSN 0304-3975, 03/2016, Volume 620, pp. 105 - 118
We study adaptive data-dependent dimensionality reduction in the context of supervised learning in general metric spaces... 
Dimensionality reduction | Metric space | Doubling dimension | Rademacher complexity | PCA | PERFORMANCE | CLASSIFICATION | ERROR | COMPUTER SCIENCE, THEORY & METHODS | ALGORITHMS | ENTROPY | Algorithms | Learning | Reduction | Approximation | Analogue | Searching | Mathematical analysis
Journal Article
Nonlinear dynamics, ISSN 1573-269X, 2019, Volume 96, Issue 3, pp. 1879 - 1894
Due to the introduction of ideal memristors, extreme multistability has been found in many autonomous memristive circuits. However, such extreme multistability... 
Ideal memristor | Hidden extreme multistability | MODEL | ENGINEERING, MECHANICAL | Dimensionality reduction model | SYNCHRONIZATION | ATTRACTORS | CHAOS | MECHANICS | DEPENDENT DYNAMICS | FitzHugh-Nagumo circuit | JERK SYSTEM | NEURON CIRCUIT | Information science | Analysis
Journal Article
BMC bioinformatics, ISSN 1471-2105, 2017, Volume 18, Issue 1, p. 47
Journal Article
Journal of the American Statistical Association, ISSN 1537-274X, 2012, Volume 107, Issue 497, pp. 168 - 179
Journal Article
ACM Transactions on Knowledge Discovery from Data (TKDD), ISSN 1556-4681, 10/2010, Volume 4, Issue 3, pp. 1 - 21
... . Dimensionality reduction has been studied for many years, however, multilabel dimensionality reduction remains almost untouched... 
Dimensionality reduction | multilabel learning | Multilabel learning | COMPUTER SCIENCE, SOFTWARE ENGINEERING | FRAMEWORK | COMPUTER SCIENCE, INFORMATION SYSTEMS
Journal Article