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A federated anti-forgetting representation method based on hybrid model architecture and gradient truncation

Anti-forgetting representation learning method reduces the weight aggregation interference on model memory and augments the ...
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Researchers propose using ‘rare word’ dictionaries to bolster unsupervised language model training

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More In a preprint study, researchers at Microsoft, Peking University, and ...
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Improved Interpretability of Machine Learning Model Using Unsupervised Clustering: Predicting Time to First Treatment in Chronic Lymphocytic Leukemia

PROSPeCT: A Predictive Research Online System for Prostate Cancer Tasks Time to event is an important aspect of clinical decision making. This is particularly true when diseases have highly ...
VentureBeat

Supervised vs. unsupervised learning: What’s the difference?

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More At the advent of the modern AI era, when it was discovered that powerful ...
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Unsupervised Learning

Unsupervised learning is a powerful type of machine learning where algorithms analyse and find patterns in data without any human intervention or prior knowledge of categories. Unlike supervised ...