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Meta-learning [1] [2] is a subfield of machine learning where automatic learning algorithms are applied to metadata about machine learning experiments. As of 2017, the term had not found a standard interpretation, however the main goal is to use such metadata to understand how automatic learning can become flexible in solving learning problems, hence to improve the performance of existing ...
A hierarchical control system (HCS) is a form of control system in which a set of devices and governing software is arranged in a hierarchical tree. When the links in the tree are implemented by a computer network , then that hierarchical control system is also a form of networked control system .
Multi-task learning (MTL) is a subfield of machine learning in which multiple learning tasks are solved at the same time, while exploiting commonalities and differences across tasks. This can result in improved learning efficiency and prediction accuracy for the task-specific models, when compared to training the models separately.
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Sydney Sweeney hit back after body shamers piled on one of her Instagram posts, which included videos and photos of her hitting the gym to prepare for her role as boxer Christy Martin.
As much as 1.1 million gallons of oil may have been discharged into the Gulf of Mexico from a pipeline system off Louisiana's southeast coast, the U.S. Coast Guard said Tuesday. The affected ...
Positive examples are those that match the target. For example, if training a classifier to identify birds, the positive training data would include images that contain birds. Negative examples would be images that do not. [9] Contrastive self-supervised learning uses both positive and negative examples.
Sydney Sweeney stunned in a series of bold, braless photos on Instagram from a rooftop in New York City, USA.Her post came just days after facing backlash for paparazzi shots of her by a pool ...