Abstract. In this study we propose a novel model for the representation of biological networks and provide algorithms for learning model parameters from experimental data. Our appr...
— Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional ...
A collaborative virtual environment (CVE) allows remote users to access and modify shared data through networks, such as the Internet. However, when the users are connected via th...
Background: The prediction of protein structure can be facilitated by the use of constraints based on a knowledge of functional sites. Without this information it is still possibl...
: Recently bagging, boosting and the random subspace method have become popular combining techniques for improving weak classifiers. These techniques are designed for, and usually ...