most citedImproving Noise Robustness through Abstractions and its Impact on Machine Learning

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cs.LG2024

Knowledge Discovery using Unsupervised Cognition

Alfredo Ibias, Hector Antona, Guillem Ramirez-Miranda +1

Knowledge discovery is key to understand and interpret a dataset, as well as to find the underlying relationships between its components. Unsupervised Cognition is a novel unsuperv…

cs.LG2024★ 1 cited

Improving Noise Robustness through Abstractions and its Impact on Machine Learning

Alfredo Ibias, Karol Capala, Varun Ravi Varma +2

Noise is a fundamental problem in learning theory with huge effects in the application of Machine Learning (ML) methods, due to real world data tendency to be noisy. Additionally,…