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FSL-LFMG: Few-shot Learning with Augmented Latent Features and Multitasking Generation for Enhancing Multiclass Classification on Tabular Data: Existing and New Concepts

Stichwort:

Deep Learning, Machine Learning, Autoencoders, New Concept Learning, Multiclass Classification, and Few-shot Learning

Schöpfer:

Nur, Aviv

Advisor:

Bardeli, Rolf and Ngan, Chun-Kit

Herausgeber:

Worcester Polytechnic Institute

Datum erstellt:

2024-08-09

Resource Type:

Thesis

Degree:

MS

Unit (Department):

Data Science