Recently, researchers introduced a new representation learning framework that integrates causal inference with graph neural networks—CauSkelNet, which can be used to model the causal relationships and ...
A recent joint study between Linköping University and the Department of Forensic Genetics and Forensic Toxicology of the ...
Image preprocessing is the first step in OCR technology, aimed at improving image quality to create favorable conditions for subsequent character recognition. Vehicle document images may be affected ...
Every sport has its arguments over which player was the greatest, but no sport takes the debate as seriously as baseball does. It is a game informed by an obsession with statistics, such that passions ...
Robots gain new function: Algorithm automatically recognizes sensors and their mathematical modeling
According to Brommer, it is no longer necessary to know which sensor is being used. Whether GPS, magnetometer/compass or speedometer, the data can simply be passed on to the algorithm and the sensor ...
On Aug. 1, President Donald Trump took a step many economists had feared: firing the head of the Bureau of Labor Statistics, the nonpartisan agency that collects a wide range of closely watched ...
Bees’ remarkable visual learning abilities make them ideal for studying active information acquisition and representation. Here, we develop a biologically inspired model to examine how flight ...
Lulu Tenney wears a Loewe dress; Miu Miu earrings (throughout); Hermès scarf; Emilio Cavallini tights; stylist’s own gloves (throughout). Louis Vuitton dress, skirt, scarves, bag, and sneakers; ...
Abstract: This paper studies the problem of market trend prediction based on high-frequency trading big data and proposes an algorithm that combines pattern recognition with the autoregressive ...
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