Landlords could no longer rely on rent-pricing software to quietly track each other's moves and push rents higher using confidential data, under a settlement between RealPage Inc. and federal ...

Co-clustering algorithms and models represent a robust framework for the simultaneous partitioning of the rows and columns in a data matrix. This dual clustering approach, often termed block ...

In recent years, a learning method for classifiers using tensor networks (TNs) has attracted attention. When constructing a classification function for high-dimensional data using a basis function ...

One of the biggest barriers to using AI successfully is bias, which is one of the terms we defined last time, as follows: Bias, in a general context, refers to a predisposition or inclination towards ...

A new technical paper titled “Electron Microscopy-based Automatic Defect Inspection for Semiconductor Manufacturing: A Systematic Review” was published by researchers at KU Leuven and imec. “In this ...

This paper shows that the Expectation-Maximization (EM) algorithm for regime-switching dynamic factor models provides satisfactory performance relative to other estimation methods and delivers a good ...

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Department of Mathematics and Statistics, Georgia State University, Atlanta, Georgia, USA. Compositional data exclusively consists of relative information. These entities are part of a broader entity.