Abstract: Meta-learning aims to leverage prior knowledge from related tasks to enable a base learner to quickly adapt to new tasks with limited labeled samples. However, traditional meta-learning ...
Abstract: Sparse Bayesian Learning (SBL) is recognized for its efficacy in sparse signal recovery, the computational demand escalates significantly with increasing data dimensionality due to the ...
Microsoft has launched AI agents for Word, Excel, and PowerPoint. The agents are available for business and individual subscribers. Now accessible on the web, the agents will expand to the desktop.
NFL Week 1 concludes with a Monday Night Football matchup at 8:15 p.m. ET between the Chicago Bears and Minnesota Vikings (-1, 43.5). Quarterback J.J. McCarthy will make his regular season debut after ...
Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...
Three crew members of the Bayesian superyacht are officially under investigation for crimes including negligence, recklessness and failing to save the ship from an oncoming storm, according to Italian ...
Multi-label text classification (MLTC) assigns multiple relevant labels to a text. While deep learning models have achieved state-of-the-art results in this area, they require large amounts of labeled ...
ABSTRACT: Customer churn poses a significant challenge for the banking and finance industry in the United States, directly affecting profitability and market share. This study conducts a comprehensive ...
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