Towards breaking the curse of dimensionality in computational methods for the conformational analysis of molecules [PDF]
Lie H.
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Data visualization in the neurosciences: overcoming the curse of dimensionality. [PDF]
Allen EA, Erhardt EB, Calhoun VD.
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Mining pure, strict epistatic interactions from high-dimensional datasets: ameliorating the curse of dimensionality. [PDF]
Jiang X, Neapolitan RE.
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The two dragons of cognition: recursive condensation for predictive processing. [PDF]
Li X.
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Evolutionary algorithm-optimized feature fusion for accurate classification of shredded tobacco using multi-sensor data. [PDF]
Chen L +9 more
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A fast, accurate and oscillation-free spectral collocation solver for high-dimensional transport problems. [PDF]
Cavallini N +3 more
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Mathematical and Algorithmic Advances in Machine Learning for Statistical Process Control: A Systematic Review. [PDF]
Qiao Y +5 more
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Comprehensive noise reduction in single-cell data with the RECODE platform. [PDF]
Imoto Y.
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A general framework for adaptive nonparametric dimensionality reduction. [PDF]
Di Noia A, Ravenda F, Mira A.
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