We introduce confidence-weighted linear classifiers, which add parameter confidence information to linear classifiers. Online learners in this setting update both classifier param...
MDPs are an attractive formalization for planning, but realistic problems often have intractably large state spaces. When we only need a partial policy to get from a fixed start s...
H. Brendan McMahan, Maxim Likhachev, Geoffrey J. G...
We compute a common feature selection or kernel selection configuration for multiple support vector machines (SVMs) trained on different yet inter-related datasets. The method is ...
Research in the fields of software quality and maintainability requires the analysis of large quantities of data, which often originate from open source software projects. Pre-pro...
Crosscutting concerns can hinder maintainability of a design because they do not adhere to a system's underlying modular structure. Developers, therefore, may wish to refacto...
Eduardo Figueiredo, Jon Whittle, Alessandro F. Gar...