In this paper, we introduce a learning algorithm, boosted kernel ridge regression (BKRR),
that combines L 2-Boosting with the kernel ridge regression (KRR). We analyze the learning …

Estimating the ratio of two probability densities from finitely many observations of the
densities is a central problem in machine learning and statistics with applications in two …

Data sites selected from modeling high-dimensional problems often appear scattered in
nonpaternalistic ways. Except for sporadic-clustering at some spots, they become relatively …