: As more information is made available online, users collect information in personal information spaces like bookmarks and emails. While most users feel that organizing these coll...
In this paper we introduce a new underlying probabilistic model for principal component analysis (PCA). Our formulation interprets PCA as a particular Gaussian process prior on a ...
No one has come up with a completely satisfactory set of deep cases relations (or thematic relations). The underlying reason is that any finite set of case relations can capture o...
Besides basis expansions, frames representations play a key role in signal processing. We thus consider the problem of frame domain signal processing, which is more complex and ch...
The sequence kernel has been shown to be a promising kernel function for learning from sequential data such as speech and DNA. However, it is not scalable to massive datasets due ...
Makoto Yamada, Masashi Sugiyama, Gordon Wichern, T...