Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Abstract-- Many statistical measures and algorithmic techniques have been proposed for studying residue coupling in protein families. Generally speaking, two residue positions are ...
John Thomas, Naren Ramakrishnan, Chris Bailey-Kell...
The intent-oriented search diversification methods developed in the field so far tend to build on generative views of the retrieval system to be diversified. Core algorithm compon...
Upper bounds on worst-case execution times, which are commonly called WCET, are a prerequisite for validating the temporal correctness of tasks in a real-time system. Due to the e...
Due to variations of lighting conditions, camera hardware settings, and the range of skin coloration among human beings, a pre-defined skin-color model cannot accurately capture t...