The observations in many applications consist of counts of discrete events, such as photons hitting a detector, which cannot be effectively modeled using an additive bounded or Ga...
Zachary T. Harmany, Roummel F. Marcia, Rebecca Wil...
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
- Abstract Modeling web site personalization strategies. Personalization is a key factor for differentiating services and retaining customers in World Wide Web sites. On the other ...
When evaluating quantitative aspects of communication networks using simulation, one of the main difficulties to face is the often considerable computing power required. In some s...
Generative topic models such as LDA are limited by their inability to utilize nontrivial input features to enhance their performance, and many topic models assume that topic assig...