Abstract: A regularized optimization problem over a large unstructured graph is studied, where the regularization term is tied to the graph geometry. Typical regularization examples include the total ...
Abstract: Adversarial examples are augmented data points generated by imperceptible perturbation of input samples. They have recently drawn much attention with the machine learning and data mining ...
Usually, papers about optimization of GLMs create problem varieties according to regularizations (low-optimal-high). For example, the papers behind LibLinear first obtain the optimal amount of ...
ABSTRACT: The stochastic configuration network (SCN) is an incremental neural network with fast convergence, efficient learning and strong generalization ability, and is widely used in fields such as ...
ABSTRACT: The National Oceanic and Atmospheric Administration reports a 95% decline in the oldest Arctic ice over the last 33 years [1], while the National Aeronautics and Space Administration states ...
You may have come across the term 'gaslighting' while casually scrolling on TikTok or in an Instagram infographic, and wondered if it's happening you. The origins of the word 'gaslight' come from a ...
PANAMA CITY – The efforts of documentation of Venezuelan refugees and migrants in Latin America and the Caribbean should be enhanced to ensure their integration in host countries and prevent the ...
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