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Found 6 papers, 4 papers with code
Feature space reduction method for ultrahigh-dimensional, multiclass data: Random forest-based multiround screening (RFMS)
These partial models are used to implement tournament-based sorting and the selection of features based on their importance.
BiometricBlender: Ultra-high dimensional, multi-class synthetic data generator to imitate biometric feature space
The lack of freely available (real-life or synthetic) high or ultra-high dimensional, multi-class datasets may hamper the rapidly growing research on feature screening, especially in the field of biometrics, where the usage of such datasets is common.
Reconstructing shared dynamics with a deep neural network
Determining hidden shared patterns behind dynamic phenomena can be a game-changer in multiple areas of research.
Manifold-adaptive dimension estimation revisited
Additionally, from the probability density function, we derive the maximum likelihood formula for global intrinsic dimensionality, if i. i. d.
How to find a unicorn: a novel model-free, unsupervised anomaly detection method for time series
TOF had superior performance compared to LOF and discord algorithms even in recognizing traditional outliers and it also recognized unique events that those did not.
Complete Inference of Causal Relations between Dynamical Systems
From ancient philosophers to modern economists, biologists, and other researchers, there has been a continuous effort to unveil causal relations.
