While there is plenty of criticism to be hurled at what music the algorithm serves to us, and how, the real problem with music discovery in the age of algorithmic recommendations is that listening has ...
Abstract: In this letter, we propose a widely linear momentum least mean squares (WLMLMS) algorithm by incorporating the momentum term into the widely linear framework. This approach effectively ...
Abstract: Mixed linear regression (MLR) models nonlinear data as a mixture of linear components. When noise is Gaussian, the Expectation-Maximization (EM) algorithm is commonly used for maximum ...
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