Due to inherent privacy concerns, online personalization services such as those offered through toolbars and desktop widgets are characterized by "no-free-disposal" (NFD...
Similarity matrices generated from many applications may not be positive semidefinite, and hence can't fit into the kernel machine framework. In this paper, we study the prob...
Background: Predicting a protein's structural or functional class from its amino acid sequence or structure is a fundamental problem in computational biology. Recently, there...
Iain Melvin, Jason Weston, Christina S. Leslie, Wi...
We investigate how to learn a kernel matrix for high dimensional data that lies on or near a low dimensional manifold. Noting that the kernel matrix implicitly maps the data into ...
The profit of a retail product not only comes from its own sales, but also comes from its influence on the sales of other products. How to promote the right products to the righ...