Qu-Tang Cai

Learn More
Bagging is an ensemble method that uses random resampling of a dataset to construct models. In classification scenarios, the random resampling procedure in bagging induces some classification margin over the dataset. In addition, when perform bagging in different feature subspaces, the resulting classification margins are likely to be diverse. We take into(More)
This paper studies the problem whether the smallest eigenvalue of constrained linear combinations of symmetric matrices can reach a desirable value, which actually extends the mathematical problem of finding a Positive Definite Linear Combination of symmetric ma-trices(PDLC), and provides a universal framework to maximize the minimal eigenvalue of linear(More)
  • 1