A Novel Robust Metric Distance Optimization-Driven Manifold Learning Framework for Semi-Supervised Pattern Classification

A Novel Robust Metric Distance Optimization-Driven Manifold Learning Framework for Semi-Supervised Pattern Classification

In this work, we address the problem of improving the classification performance of machine learning models, especially in the presence of noisy and outlier data. To this end, we first innovatively design a generalized adaptive robust loss function called <inline-formula><math xmlns="h...

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Bibliographic Details
Main Authors: Bao Ma, Jun Ma, Guolin Yu
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Axioms
Subjects:
robust distance metric
loss function
manifold regularization
semi-supervised learning
pattern classification
Online Access:https://www.mdpi.com/2075-1680/12/8/737

Internet

https://www.mdpi.com/2075-1680/12/8/737

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