Quantum information theory is a field of study that examines how quantum technologies store and process information. Over the ...
A new computational model of the brain based closely on its biology and physiology not only learned a simple visual category learning task exactly as well as lab animals, but even enabled the ...
The authors argue that generative AI introduces a new class of alignment risks because interaction itself becomes a mechanism of influence. Humans adapt their behavior in response to AI outputs, ...
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Deep learning regularization: Prevent overfitting effectively explained
Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test ...
Abstract: Sparse unmixing (SU) performs unmixing tasks for hyperspectral images (HSIs) using a complete spectral library. Recent studies have reported that the adverse effects of noise can be ...
Abstract: Conventional total variation (TV) regularization denoising model is typically constructed by the first-order differences in both lateral and vertical directions. However, first-order ...
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