Sparsity-Inducing Binary Kernel Logistic Regression: A New Approach
Analysis
This ArXiv paper introduces a novel formulation for binary kernel logistic regression, aiming to induce sparsity. The paper also presents a convergent decomposition training algorithm, contributing to the advancement of machine learning.
Key Takeaways
- •Presents a new formulation for binary kernel logistic regression.
- •The formulation is designed to promote sparsity in the model.
- •Introduces a convergent decomposition training algorithm.
Reference
“The paper focuses on a sparsity-inducing formulation and a convergent decomposition training algorithm.”