While some business leaders buy large language models, others build their own. Here are five things you need to know.

Monge-Kantorovich distances, otherwise known as Wasserstein distances, have received a growing attention in statistics and machine learning as a powerful discrepancy measure for probability ...

We consider the complex generalized Gaussian distribution (CGGD) as a noise model to evaluate the detection performance of the ML-based method in both Gaussian and non-Gaussian noise environments.

Abstract The purpose of this paper is to substantiate the correct method for modeling additive white Gaussian noise under conditions of using analog filtering when processing a signal-noise mixture.

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This study evaluates the effectiveness of the multi-task Gaussian process (MTGP) based on the linear model of coregionalization (LMC) for imputing missing daily rainfall data in Burkina Faso, ...

There are several different clustering techniques, and each technique has many variations. Common clustering techniques include k-means, Gaussian mixture model, density-based and spectral. This ...

Because the histogram of the processed acceleration signal showed a bimodal distribution, for example, high- and low-intensity peaks, a Gaussian mixture model was fitted to the histogram, and the ...