Optimizing Sparse Generalized Singular Vectors for Feature Selection in Proximal Support Vector Machines with Application to Breast and Ovarian Cancer Detection
Ugwu, Ugochukwu O., Kirby, Michael
This paper presents approaches to compute sparse solutions of Generalized Singular Value Problem (GSVP). The GSVP is regularized by $\ell_1$-norm and $\ell_q$-penalty for $0
Oct-4-2024
- Country:
- North America > United States (0.68)
- Genre:
- Research Report (0.50)
- Industry:
- Health & Medicine > Therapeutic Area > Oncology > Ovarian Cancer (0.63)
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