Dimensionality reduction via Random Projections has attracted considerable attention in recent years. The approach has interesting theoretical underpinnings and offers computation...
Recent theoretical work has identified random projection as a promising dimensionality reduction technique for learning mixtures of Gaussians. Here we summarize these results and ...
Random projection has been suggested as a means of dimensionality reduction, where the original data are projected onto a subspace using a random matrix. It represents a computati...
Tetsuya Takiguchi, Jeff Bilmes, Mariko Yoshii, Yas...
The interest in pair programming (PP) has increased recently, e.g. by the popularization of agile software development. However, many practicalities of PP are poorly understood. W...
We report on how the Wrangler refactoring tool has been used to improve and transform test code for Erlang systems. This has been achieved through the removal of code clones, the i...