Effect of wrong samples on the convergence of learning processes

DOI10.1016/0020-0255(91)90036-TzbMath0704.68093OpenAlexW2153127462MaRDI QIDQ917332

Elsie Sterbin Gottlieb

Publication date: 1991

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0020-0255(91)90036-t

zbMATH Keywords

m-classN-feature pattern recognition problem

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items

Effect of wrong samples on the convergence of learning processes. II: A remedy

Cites Work

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• Learning with imperfectly labeled patterns
• The Effect of Errors in Diagnosis and Measurement on the Estimation of the Probability of an Event
• Estimating the Linear Discriminant Function from Initial Samples Containing a Small Number of Unclassified Observations
• Normal Discrimination with Unclassified Observations
• Discriminant Analysis When the Initial Samples Are Misclassified II: Non-Random Misclassification Models