Kernel density estimation (KDE) is a versatile nonparametric approach to infer continuous probability distributions from finite samples. By superimposing smooth kernel functions—most commonly Gaussian ...
We present a supervised, probabilistic taxonomic classification of asteroid reflectance spectra from Gaia Data Release 3 (DR3). Using high-quality Gaia DR3 spectra and a reference set of spectra from ...
Abstract: Executable file analysis is a pivotal technology in the fields of cybersecurity and software engineering, with applications including malware detection, code similarity analysis, and ...
We collaborate with the world's leading lawyers to deliver news tailored for you. Sign Up for any (or all) of our 25+ Newsletters. Some states have laws and ethical rules regarding solicitation and ...
Density estimation is a fundamental component in statistical analysis, aiming to infer the probability distribution of a random variable from a finite sample without imposing restrictive parametric ...
This project investigates the application of Deep Neural Networks (DNNs) for automated fault classification and fault location in power transmission lines. Using data generated from a simulated 4-bus ...
Abstract: Deep Neural Networks (DNN) are widely used in hyperspectral image (HSI) classification due to their powerful ability to extract spatial-spectral features. However, the scarcity of labeled ...
ABSTRACT: In real-world applications, datasets frequently contain outliers, which can hinder the generalization ability of machine learning models. Bayesian classifiers, a popular supervised learning ...
Silverman, B.W. (1986) Density Estimation for Statistics and Data Analysis. Chapman and Hall, 1-175.
ABSTRACT: In real-world applications, datasets frequently contain outliers, which can hinder the generalization ability of machine learning models. Bayesian classifiers, a popular supervised learning ...
We present a supervised learning framework of training generative models for density estimation. Generative models, including generative adversarial networks (GANs), normalizing flows, and variational ...
New York -- Today the National Football League announced the finalists for the sixth annual Big Data Bowl powered by Amazon Web Services (AWS). The yearly sports analytics competition hosted by the ...
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