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Teaser image to Rank-based support vector machines for highly imbalanced data using nominated samples

 

Colloquium

Rank-based support vector machines for highly imbalanced data using nominated samples

Mohammad Jafari Jozani, University of Manitoba, Winnipeg, Canada

   21.06.2023

   4:15 pm - 5:45 pm

   LMU Department of Statistics and via zoom

The talk proposes a novel approach, MaxNS, that tackles highly imbalanced binary classification using expert opinions and rank information. Biasing training samples towards the minority class, it employs rank-based Hinge and Logistic loss functions.

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Link to The Mathematical Universe behind Deep Neural Networks

 

Munich AI Lectures  •  25.11.2024  •  Große Aula der LMU Geschwister-Scholl-Platz 1, Room 120 80539 München

The Mathematical Universe behind Deep Neural Networks

Join us on Nov 25 for Prof. Helmut Bölcskei’s lecture on the mathematical foundations driving deep neural networks, hosted by Bavarian AI at LMU.