Discover how Nielsen's ABCD County classifications aid advertisers in targeting audiences using U.S. Census data based on population size and metropolitan proximity.
Background: The performance of a classification algorithm eventually reaches a point of diminishing returns, where the additional sample added does not improve the results. Thus, there is a need to ...
Abstract: High-dimensional data classification is widely considered as a challenging task in machine learning due to the so-called “curse of dimensionality.” In this article, a novel multilayer ...
Abstract: This paper defines a positive and unlabeled classification problem for standard GANs, which then leads to a novel technique to stabilize the training of the discriminator in GANs and deal ...
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