We present a learning framework for structured support vector models in which boosting and bagging methods are used to construct ensemble models. We also propose a selection metho...
The complexity of gene regulatory network models stems from the fact that the models should be able to represent continuous, discrete as well as stochastic aspects of gene regulati...
One issue involved in accessing multiple heterogeneous information sources is how to integrate the retrieved data. SIMS, an information mediator, handles this problem by mapping t...
Abstract In previous work, we constructed a simple electromechanical model of transduction in the rat mystacial follicle that was able to replicate primary afferent response profil...
Benjamin Mitchinson, Ehsan Arabzadeh, Mathew E. Di...
In a UML model, different aspects of a system are covered by different types of diagrams and this bears the risk that an overall system specification becomes barely tractable by t...