2 papers
stat.ML2024
A Generalized Mean Approach for Distributed-PCA
Zhi-Yu Jou, Su-Yun Huang, Hung Hung +1
Principal component analysis (PCA) is a widely used technique for dimension reduction. As datasets continue to grow in size, distributed-PCA (DPCA) has become an active research ar…
stat.ME2024
Minimum Gamma Divergence for Regression and Classification Problems
Shinto Eguchi
The book is structured into four main chapters. Chapter 1 introduces the foundational concepts of divergence measures, including the well-known Kullback-Leibler divergence and its…